Unmanned Aircraft Systems:
This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Airc...
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WILEY-VCH
2024
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| Zusammenfassung: | This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas |
| Beschreibung: | This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas Preface xix; 1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges 1; Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, - Sachin Chaudhary and Shahanawaj Ahamad; 1.1 Introduction 2; 1.1.1 Overview of Unmanned Aircraft Systems (UAS) 3; 1.1.2 Historical Development and Evolution of UAS 6; 1.1.3 Importance and Impact of UAS Technology 8; 1.2 UAS Fundamentals 11; 1.2.1 UAS Components and Architecture 11; 1.2.2 UAS Control and Navigation Systems 14; 1.3 Literature Review 16; 1.4 UAS Applications 20; 1.4.1 Military and Defense Applications 20; 1.4.2 Civil and Commercial Applications 21; 1.4.3 Scientific and Research Applications 22; 1.5 UAS Regulations and Challenges 24; 1.5.1 Regulatory Framework for UAS Operations 24; 1.5.1.1 National and International Regulations 24; 1.5.1.2 Licensing and Certification Requirements 26; 1.5.1.3 Airspace Integration and Traffic Management 27; 1.5.2 Safety and Security Considerations 29; 1.5.2.1 Collision Avoidance and Risk Mitigation 30; 1.5.2.2 Cybersecurity and Data Protection 30; 1.5.2.3 Emergency Procedures and Contingency Planning 30; 1.5.3 Ethical and Legal Challenges - 31; 1.5.3.1 Privacy and Surveillance Concerns 31; 1.5.3.2 Liability and Accountability Issues 32; 1.5.3.3 Public Perception and Acceptance 32; 1.5.3.4 UAS Performance Metrics 32; 1.6 Technological Advancements and Future Trends 34; 1.6.1 Emerging Technologies in UAS 34; 1.6.1.1 AI and ml 34; 1.6.1.2 Swarming and Cooperative Systems 36; 1.6.1.3 Extended Flight Endurance and Range 37; 1.6.2 Integration of UAS with Other Technologies 38; 1.6.2.1 IoT and Sensor Networks 38; 1.6.2.2 5G and Communication Infrastructure 40; 1.6.2.3 Augmented Reality (AR) and Virtual Reality (vr) 43; 1.6.3 Future Applications and Impacts of UAS 45; 1.6.3.1 Urban Air Mobility and Air Taxi Services 45; 1.6.3.2 Medical Delivery and Emergency Response 47; 1.6.3.3 Space Exploration and Planetary Science 48; 1.7 Conclusion 50; 1.7.1 Summary of UAS Technology and Applications 51; 1.7.2 Key Challenges and Opportunities in the UAS Industry 52; 1.7.3 Prospects for Future Development and Adoption of UAS 54; 1.8 Future - Scope 55; References 56; 2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study 65; Harneet Kour, Sachin Kumar Gupta, Shachi Mall, Radha Raman Chandan, - Mohd Najim and Pankaj Jain; 2.1 Introduction 66; 2.2 UAVs’ Exploration on Earth’s Surface 68; 2.2.1 Surveillance 68; 2.2.2 Mapping and Cartography 70; 2.2.3 Environmental Monitoring 71; 2.2.4 Infrastructure Inspection 71; 2.2.5 Agriculture and Crop Monitoring 72; 2.3 UAVs’ Exploration on Mars’ Surface 73; 2.4 In-Depth Analysis of UAVs for Mission Planning and Safety: A Martian Body 76; 2.4.1 Mars Environment and Challenges 78; 2.4.2 Design Considerations for Martian UAVs 81; 2.4.3 Development 83; 2.5 Modeling and Simulation of Martian UAVs 85; 2.5.1 Path Planning and Navigation 87; 2.5.2 Image Processing and Data Analysis 88; 2.5.3 Communication and Data Transmission 89; 2.6 Conclusion and Future Scope 89; References 90; 3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming 93; Rahul Joshi and Krishna Pandey; 3.1 Introduction 94; 3.1.1 Indian Perspective on Drone Technology 95; 3.2 Utilization of Drones in Agricultural Practices 97; 3.3 Types of - Drones and Sensors 101; 3.3.1 Drones Based on Design 101; 3.3.2 Drones Based on Weight 103; 3.3.3 Drones Based on Sensors 105; 3.4 Agricultural Drone Industry in India 107; 3.4.1 An Overview of India’s Farming Drone Business 108; 3.4.2 Major Organizations in India’s Agricultural Drone Industry 109; 3.5 Competitive Analysis of the Drone Market in the Agriculture Sector in India 113; 3.5.1 Prominent International Stakeholders 113; 3.5.2 Strategic Approach Used by Market Players 114; 3.5.3 Newest Trends in the Indian Market 116; 3.5.4 Barriers to Entry in the Indian Market 118; 3.6 Revenue and Growth of the Indian Drone Market 120; 3.6.1 Past Revenue Patterns and Future Growth Forecasts for the Drone Industry in the Farming Sector 121; 3.6.2 Revenue-Growing Components 121; 3.7 Successful Case Studies of Agriculture Drone in India 123; 3.8 Regulatory Frameworks Impacting the Use of Drones in Agriculture 126; 3.8.1 Directorate General of Civil Aviation Guidelines for Farming Drones - 126; 3.8.2 Restricted Zone for Drone Flying in India 128; 3.9 Conclusion and Future Directions 130; References 131; 4 Applications of AI in UAVs Using In-Flight Parameters 137; Yogesh Beeharry and Raviduth Ramful; 4.1 Introduction 138; 4.1.1 UAV Technology 139; 4.1.2 UAV Navigation Technology 141; 4.1.2.1 Autonomous Navigation Systems 142; 4.1.3 Artificial Intelligence for UAV Navigation 145; 4.1.4 Regression-Based Predictive Models 146; 4.1.4.1 Linear Regression 146; 4.1.4.2 Regression Decision Tree 146; 4.1.4.3 Ensemble of Regression Learners 148; 4.1.4.4 Gaussian Process Regression 148; 4.1.4.5 Kernel Regression 148; 4.1.4.6 Regression Neural Network 149; 4.1.4.7 Regression Support Vector Machine 150; 4.2 Methodology 151; 4.2.1 Existing Datasets for UAV Navigation 151; 4.2.1.1 UAV Delivery Dataset 151; 4.2.1.2 Hull Drone Indoor Navigation (HDIN) Dataset 151; 4.2.1.3 UAVVAste Dataset 151; 4.2.2 Selected Dataset 151; 4.2.3 System Model 153; 4.3 Results for Instantaneous Power versus - Wind Speed 154; 4.3.1 Linear Regression Model 154; 4.3.2 Regression Decision Tree Model 155; 4.3.3 Ensemble of Regression Learners Model 157; 4.3.4 Gaussian Process Regression Model 158; 4.3.5 Kernel Regression Model 159; 4.3.6 Regression Neural Network Model 161; 4.3.7 Regression Support Vector Machine 162; 4.4 Results for Instantaneous Power versus Wind Speed and Wind Angle 163; 4.4.1 Linear Regression Model 163; 4.4.2 Regression Decision Tree Model 165; 4.4.3 Ensemble of Regression Learners Model 166; 4.4.4 Gaussian Process Regression Model 168; 4.4.5 Kernel Regression Model 169; 4.4.6 Regression Neural Network Model 170; 4.4.7 Regression Support Vector Machine Model 171; 4.5 Comparative Analysis of Results 174; 4.6 Conclusion and Future Scope 174; References 175; 5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce 181; Vu Duy Trung, Phuong Anh Nguyen, Toh Yan Chi, Phung Thao Vi, - Satyam Mishra and Le Anh Ngoc; 5.1 Introduction 182; 5.2 Literature Review 185; 5.2.1 Overview of Drone Technology in E-Commerce 185; 5.2.2 Current Challenges in Drone Fleet Management for Last-Mile Delivery 186; 5.2.3 State-of-the-Art Machine Learning Algorithms for Drone Optimization 187; 5.2.4 Previous Studies on Face-Tracking and Line-Follower Drones 189; 5.3 Methodology 192; 5.3.1 Research Design and Approach 192; 5.3.2 Data Collection and Sources 193; 5.3.3 Programming Process 197; 5.3.4 Experimental Setup for Face-Tracking Drone Development 199; 5.3.5 Experimental Setup for Line-Follower Drone Development 204; 5.4 Results and Discussion 208; 5.4.1 Performance Analysis of Face-Tracker Drone 208; 5.4.2 Performance Analysis of Line-Follower Drone 211; 5.4.3 Comparison with Existing Solutions 213; 5.4.4 Interpretation of Findings 214; 5.5 Conclusion and Future Scope 215; References 218; 6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response 225; Yan - Chi Toh, Phuong Anh Nguyen, Satyam Mishra, Vu Duy Trung, Phung Thao Vi and Le Anh Ngoc; 6.1 Introduction 226; 6.2 Literature Review 229; 6.3 Research Methodology 231; 6.3.1 Research Design 231; 6.3.2 Test Case Development 231; 6.3.3 Drone Platform and Equipment 232; 6.3.4 Surveillance and Mapping Software 234; 6.3.5 Test Execution 234; 6.3.6 Data Analysis 236; 6.3.7 Ethical Considerations 237; 6.3.8 Drone Surveillance 237; 6.3.9 Drone Mapping 239; 6.4 Data Collection and Analysis 241; 6.4.1 Data Collection 241; 6.4.2 Quantitative Analysis 247; 6.4.3 Key Results 251; 6.5 Results and Discussion 252; 6.6 Conclusion, Recommendations, and Future Scope 255; References 258; 7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems 263; Soumya Pandey, - Neeta Kumari and Lovely Mallick; 7.1 Introduction 264; 7.1.1 Global Initiatives Towards Land Degradation 267; 7.2 Processes of Land Degradation 269; 7.2.1 Soil Loss 269; 7.2.2 Land Use Land Cover 271; 7.2.3 Climate Change 273; 7.2.4 Hydrological Cycles 274; 7.2.5 Salinization 275; 7.2.6 Heavy Metal Pollution 275; 7.2.7 Plastic Pollution 276; 7.3 Geospatial Application in Addressing the Land Degradation 277; 7.4 Components of Unmanned Aircraft Systems (UASs) 281; 7.5 Data Collection and Processing for UAVs 283; 7.5.1 Pre-Flight Planning 283; 7.5.2 Sensors 284; 7.5.2.1 Optical Sensors 285; 7.5.2.2 Fluorescence Sensors 285; 7.5.2.3 Thermal Infrared Sensors 286; 7.5.2.4 LiDAR Sensors 286; 7.5.2.5 Gas Sensors 287; 7.5.2.6 Photogrammetric Sensors 288; 7.5.3 Platforms—Advantages and Disadvantages 289; 7.5.3.1 Fixed-Wing UAS 289; 7.5.3.2 Multirotor UAS 290; 7.5.3.3 Hybrid UAS 292; 7.5.3.4 Tethered UAS 294; 7.6 Advantages of UAS Integrated with GIS for Land Degradation Monitoring 295; 7.6.1 - Selection of UAS 296; 7.7 Application of UAV in Land Degradation Monitoring and Assessment 297; 7.8 Conclusion and Future Scope 298; References 299; 8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World 313; Bhupinder Singh; 8.1 Introduction 314; 8.1.1 Significance of Unmanned Aircraft Systems (UASs): Exponential Growth Across Industries 315; 8.1.2 Unmanned Aircraft Systems (UASs): High Sky Exploring the Strange New World 317; 8.1.3 Scope of the Chapter 319; 8.2 Evolution of Unmanned Aircraft Systems: Origin and Widespread Applications in Commercial and Civilian Sectors 322; 8.2.1 Motivations for UAS Assimilation 325; 8.3 Surveillance Applications and Ethical Considerations: Advantages and Challenges Associated with Surveilla |
| Beschreibung: | 688 Seiten |
| ISBN: | 9781394230617 |
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| 500 | |a This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas | ||
| 500 | |a Preface xix; 1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges 1; Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, | ||
| 500 | |a - Sachin Chaudhary and Shahanawaj Ahamad; 1.1 Introduction 2; 1.1.1 Overview of Unmanned Aircraft Systems (UAS) 3; 1.1.2 Historical Development and Evolution of UAS 6; 1.1.3 Importance and Impact of UAS Technology 8; 1.2 UAS Fundamentals 11; 1.2.1 UAS Components and Architecture 11; 1.2.2 UAS Control and Navigation Systems 14; 1.3 Literature Review 16; 1.4 UAS Applications 20; 1.4.1 Military and Defense Applications 20; 1.4.2 Civil and Commercial Applications 21; 1.4.3 Scientific and Research Applications 22; 1.5 UAS Regulations and Challenges 24; 1.5.1 Regulatory Framework for UAS Operations 24; 1.5.1.1 National and International Regulations 24; 1.5.1.2 Licensing and Certification Requirements 26; 1.5.1.3 Airspace Integration and Traffic Management 27; 1.5.2 Safety and Security Considerations 29; 1.5.2.1 Collision Avoidance and Risk Mitigation 30; 1.5.2.2 Cybersecurity and Data Protection 30; 1.5.2.3 Emergency Procedures and Contingency Planning 30; 1.5.3 Ethical and Legal Challenges | ||
| 500 | |a - 31; 1.5.3.1 Privacy and Surveillance Concerns 31; 1.5.3.2 Liability and Accountability Issues 32; 1.5.3.3 Public Perception and Acceptance 32; 1.5.3.4 UAS Performance Metrics 32; 1.6 Technological Advancements and Future Trends 34; 1.6.1 Emerging Technologies in UAS 34; 1.6.1.1 AI and ml 34; 1.6.1.2 Swarming and Cooperative Systems 36; 1.6.1.3 Extended Flight Endurance and Range 37; 1.6.2 Integration of UAS with Other Technologies 38; 1.6.2.1 IoT and Sensor Networks 38; 1.6.2.2 5G and Communication Infrastructure 40; 1.6.2.3 Augmented Reality (AR) and Virtual Reality (vr) 43; 1.6.3 Future Applications and Impacts of UAS 45; 1.6.3.1 Urban Air Mobility and Air Taxi Services 45; 1.6.3.2 Medical Delivery and Emergency Response 47; 1.6.3.3 Space Exploration and Planetary Science 48; 1.7 Conclusion 50; 1.7.1 Summary of UAS Technology and Applications 51; 1.7.2 Key Challenges and Opportunities in the UAS Industry 52; 1.7.3 Prospects for Future Development and Adoption of UAS 54; 1.8 Future | ||
| 500 | |a - Scope 55; References 56; 2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study 65; Harneet Kour, Sachin Kumar Gupta, Shachi Mall, Radha Raman Chandan, | ||
| 500 | |a - Mohd Najim and Pankaj Jain; 2.1 Introduction 66; 2.2 UAVs’ Exploration on Earth’s Surface 68; 2.2.1 Surveillance 68; 2.2.2 Mapping and Cartography 70; 2.2.3 Environmental Monitoring 71; 2.2.4 Infrastructure Inspection 71; 2.2.5 Agriculture and Crop Monitoring 72; 2.3 UAVs’ Exploration on Mars’ Surface 73; 2.4 In-Depth Analysis of UAVs for Mission Planning and Safety: A Martian Body 76; 2.4.1 Mars Environment and Challenges 78; 2.4.2 Design Considerations for Martian UAVs 81; 2.4.3 Development 83; 2.5 Modeling and Simulation of Martian UAVs 85; 2.5.1 Path Planning and Navigation 87; 2.5.2 Image Processing and Data Analysis 88; 2.5.3 Communication and Data Transmission 89; 2.6 Conclusion and Future Scope 89; References 90; 3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming 93; Rahul Joshi and Krishna Pandey; 3.1 Introduction 94; 3.1.1 Indian Perspective on Drone Technology 95; 3.2 Utilization of Drones in Agricultural Practices 97; 3.3 Types of | ||
| 500 | |a - Drones and Sensors 101; 3.3.1 Drones Based on Design 101; 3.3.2 Drones Based on Weight 103; 3.3.3 Drones Based on Sensors 105; 3.4 Agricultural Drone Industry in India 107; 3.4.1 An Overview of India’s Farming Drone Business 108; 3.4.2 Major Organizations in India’s Agricultural Drone Industry 109; 3.5 Competitive Analysis of the Drone Market in the Agriculture Sector in India 113; 3.5.1 Prominent International Stakeholders 113; 3.5.2 Strategic Approach Used by Market Players 114; 3.5.3 Newest Trends in the Indian Market 116; 3.5.4 Barriers to Entry in the Indian Market 118; 3.6 Revenue and Growth of the Indian Drone Market 120; 3.6.1 Past Revenue Patterns and Future Growth Forecasts for the Drone Industry in the Farming Sector 121; 3.6.2 Revenue-Growing Components 121; 3.7 Successful Case Studies of Agriculture Drone in India 123; 3.8 Regulatory Frameworks Impacting the Use of Drones in Agriculture 126; 3.8.1 Directorate General of Civil Aviation Guidelines for Farming Drones | ||
| 500 | |a - 126; 3.8.2 Restricted Zone for Drone Flying in India 128; 3.9 Conclusion and Future Directions 130; References 131; 4 Applications of AI in UAVs Using In-Flight Parameters 137; Yogesh Beeharry and Raviduth Ramful; 4.1 Introduction 138; 4.1.1 UAV Technology 139; 4.1.2 UAV Navigation Technology 141; 4.1.2.1 Autonomous Navigation Systems 142; 4.1.3 Artificial Intelligence for UAV Navigation 145; 4.1.4 Regression-Based Predictive Models 146; 4.1.4.1 Linear Regression 146; 4.1.4.2 Regression Decision Tree 146; 4.1.4.3 Ensemble of Regression Learners 148; 4.1.4.4 Gaussian Process Regression 148; 4.1.4.5 Kernel Regression 148; 4.1.4.6 Regression Neural Network 149; 4.1.4.7 Regression Support Vector Machine 150; 4.2 Methodology 151; 4.2.1 Existing Datasets for UAV Navigation 151; 4.2.1.1 UAV Delivery Dataset 151; 4.2.1.2 Hull Drone Indoor Navigation (HDIN) Dataset 151; 4.2.1.3 UAVVAste Dataset 151; 4.2.2 Selected Dataset 151; 4.2.3 System Model 153; 4.3 Results for Instantaneous Power versus | ||
| 500 | |a - Wind Speed 154; 4.3.1 Linear Regression Model 154; 4.3.2 Regression Decision Tree Model 155; 4.3.3 Ensemble of Regression Learners Model 157; 4.3.4 Gaussian Process Regression Model 158; 4.3.5 Kernel Regression Model 159; 4.3.6 Regression Neural Network Model 161; 4.3.7 Regression Support Vector Machine 162; 4.4 Results for Instantaneous Power versus Wind Speed and Wind Angle 163; 4.4.1 Linear Regression Model 163; 4.4.2 Regression Decision Tree Model 165; 4.4.3 Ensemble of Regression Learners Model 166; 4.4.4 Gaussian Process Regression Model 168; 4.4.5 Kernel Regression Model 169; 4.4.6 Regression Neural Network Model 170; 4.4.7 Regression Support Vector Machine Model 171; 4.5 Comparative Analysis of Results 174; 4.6 Conclusion and Future Scope 174; References 175; 5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce 181; Vu Duy Trung, Phuong Anh Nguyen, Toh Yan Chi, Phung Thao Vi, | ||
| 500 | |a - Satyam Mishra and Le Anh Ngoc; 5.1 Introduction 182; 5.2 Literature Review 185; 5.2.1 Overview of Drone Technology in E-Commerce 185; 5.2.2 Current Challenges in Drone Fleet Management for Last-Mile Delivery 186; 5.2.3 State-of-the-Art Machine Learning Algorithms for Drone Optimization 187; 5.2.4 Previous Studies on Face-Tracking and Line-Follower Drones 189; 5.3 Methodology 192; 5.3.1 Research Design and Approach 192; 5.3.2 Data Collection and Sources 193; 5.3.3 Programming Process 197; 5.3.4 Experimental Setup for Face-Tracking Drone Development 199; 5.3.5 Experimental Setup for Line-Follower Drone Development 204; 5.4 Results and Discussion 208; 5.4.1 Performance Analysis of Face-Tracker Drone 208; 5.4.2 Performance Analysis of Line-Follower Drone 211; 5.4.3 Comparison with Existing Solutions 213; 5.4.4 Interpretation of Findings 214; 5.5 Conclusion and Future Scope 215; References 218; 6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response 225; Yan | ||
| 500 | |a - Chi Toh, Phuong Anh Nguyen, Satyam Mishra, Vu Duy Trung, Phung Thao Vi and Le Anh Ngoc; 6.1 Introduction 226; 6.2 Literature Review 229; 6.3 Research Methodology 231; 6.3.1 Research Design 231; 6.3.2 Test Case Development 231; 6.3.3 Drone Platform and Equipment 232; 6.3.4 Surveillance and Mapping Software 234; 6.3.5 Test Execution 234; 6.3.6 Data Analysis 236; 6.3.7 Ethical Considerations 237; 6.3.8 Drone Surveillance 237; 6.3.9 Drone Mapping 239; 6.4 Data Collection and Analysis 241; 6.4.1 Data Collection 241; 6.4.2 Quantitative Analysis 247; 6.4.3 Key Results 251; 6.5 Results and Discussion 252; 6.6 Conclusion, Recommendations, and Future Scope 255; References 258; 7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems 263; Soumya Pandey, | ||
| 500 | |a - Neeta Kumari and Lovely Mallick; 7.1 Introduction 264; 7.1.1 Global Initiatives Towards Land Degradation 267; 7.2 Processes of Land Degradation 269; 7.2.1 Soil Loss 269; 7.2.2 Land Use Land Cover 271; 7.2.3 Climate Change 273; 7.2.4 Hydrological Cycles 274; 7.2.5 Salinization 275; 7.2.6 Heavy Metal Pollution 275; 7.2.7 Plastic Pollution 276; 7.3 Geospatial Application in Addressing the Land Degradation 277; 7.4 Components of Unmanned Aircraft Systems (UASs) 281; 7.5 Data Collection and Processing for UAVs 283; 7.5.1 Pre-Flight Planning 283; 7.5.2 Sensors 284; 7.5.2.1 Optical Sensors 285; 7.5.2.2 Fluorescence Sensors 285; 7.5.2.3 Thermal Infrared Sensors 286; 7.5.2.4 LiDAR Sensors 286; 7.5.2.5 Gas Sensors 287; 7.5.2.6 Photogrammetric Sensors 288; 7.5.3 Platforms—Advantages and Disadvantages 289; 7.5.3.1 Fixed-Wing UAS 289; 7.5.3.2 Multirotor UAS 290; 7.5.3.3 Hybrid UAS 292; 7.5.3.4 Tethered UAS 294; 7.6 Advantages of UAS Integrated with GIS for Land Degradation Monitoring 295; 7.6.1 | ||
| 500 | |a - Selection of UAS 296; 7.7 Application of UAV in Land Degradation Monitoring and Assessment 297; 7.8 Conclusion and Future Scope 298; References 299; 8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World 313; Bhupinder Singh; 8.1 Introduction 314; 8.1.1 Significance of Unmanned Aircraft Systems (UASs): Exponential Growth Across Industries 315; 8.1.2 Unmanned Aircraft Systems (UASs): High Sky Exploring the Strange New World 317; 8.1.3 Scope of the Chapter 319; 8.2 Evolution of Unmanned Aircraft Systems: Origin and Widespread Applications in Commercial and Civilian Sectors 322; 8.2.1 Motivations for UAS Assimilation 325; 8.3 Surveillance Applications and Ethical Considerations: Advantages and Challenges Associated with Surveilla | ||
| 520 | |a This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas | ||
| 653 | |a Maschinenbau, Fertigungstechnik | ||
| 700 | 1 | |a Kumar, Manoj |e Sonstige |4 oth | |
| 700 | 1 | |a Nayyar, Anand |e Sonstige |4 oth | |
| 700 | 1 | |a Mahajan, Shubham |e Sonstige |4 oth | |
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| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV050155210</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">250205s2024 xx |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781394230617</subfield><subfield code="9">978-1-394-23061-7</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781394230617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050155210</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gupta, Sachin Kumar</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Unmanned Aircraft Systems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">WILEY-VCH</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">688 Seiten</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Preface xix; 1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges 1; Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar,</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Sachin Chaudhary and Shahanawaj Ahamad; 1.1 Introduction 2; 1.1.1 Overview of Unmanned Aircraft Systems (UAS) 3; 1.1.2 Historical Development and Evolution of UAS 6; 1.1.3 Importance and Impact of UAS Technology 8; 1.2 UAS Fundamentals 11; 1.2.1 UAS Components and Architecture 11; 1.2.2 UAS Control and Navigation Systems 14; 1.3 Literature Review 16; 1.4 UAS Applications 20; 1.4.1 Military and Defense Applications 20; 1.4.2 Civil and Commercial Applications 21; 1.4.3 Scientific and Research Applications 22; 1.5 UAS Regulations and Challenges 24; 1.5.1 Regulatory Framework for UAS Operations 24; 1.5.1.1 National and International Regulations 24; 1.5.1.2 Licensing and Certification Requirements 26; 1.5.1.3 Airspace Integration and Traffic Management 27; 1.5.2 Safety and Security Considerations 29; 1.5.2.1 Collision Avoidance and Risk Mitigation 30; 1.5.2.2 Cybersecurity and Data Protection 30; 1.5.2.3 Emergency Procedures and Contingency Planning 30; 1.5.3 Ethical and Legal Challenges</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - 31; 1.5.3.1 Privacy and Surveillance Concerns 31; 1.5.3.2 Liability and Accountability Issues 32; 1.5.3.3 Public Perception and Acceptance 32; 1.5.3.4 UAS Performance Metrics 32; 1.6 Technological Advancements and Future Trends 34; 1.6.1 Emerging Technologies in UAS 34; 1.6.1.1 AI and ml 34; 1.6.1.2 Swarming and Cooperative Systems 36; 1.6.1.3 Extended Flight Endurance and Range 37; 1.6.2 Integration of UAS with Other Technologies 38; 1.6.2.1 IoT and Sensor Networks 38; 1.6.2.2 5G and Communication Infrastructure 40; 1.6.2.3 Augmented Reality (AR) and Virtual Reality (vr) 43; 1.6.3 Future Applications and Impacts of UAS 45; 1.6.3.1 Urban Air Mobility and Air Taxi Services 45; 1.6.3.2 Medical Delivery and Emergency Response 47; 1.6.3.3 Space Exploration and Planetary Science 48; 1.7 Conclusion 50; 1.7.1 Summary of UAS Technology and Applications 51; 1.7.2 Key Challenges and Opportunities in the UAS Industry 52; 1.7.3 Prospects for Future Development and Adoption of UAS 54; 1.8 Future</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Scope 55; References 56; 2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study 65; Harneet Kour, Sachin Kumar Gupta, Shachi Mall, Radha Raman Chandan,</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Mohd Najim and Pankaj Jain; 2.1 Introduction 66; 2.2 UAVs’ Exploration on Earth’s Surface 68; 2.2.1 Surveillance 68; 2.2.2 Mapping and Cartography 70; 2.2.3 Environmental Monitoring 71; 2.2.4 Infrastructure Inspection 71; 2.2.5 Agriculture and Crop Monitoring 72; 2.3 UAVs’ Exploration on Mars’ Surface 73; 2.4 In-Depth Analysis of UAVs for Mission Planning and Safety: A Martian Body 76; 2.4.1 Mars Environment and Challenges 78; 2.4.2 Design Considerations for Martian UAVs 81; 2.4.3 Development 83; 2.5 Modeling and Simulation of Martian UAVs 85; 2.5.1 Path Planning and Navigation 87; 2.5.2 Image Processing and Data Analysis 88; 2.5.3 Communication and Data Transmission 89; 2.6 Conclusion and Future Scope 89; References 90; 3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming 93; Rahul Joshi and Krishna Pandey; 3.1 Introduction 94; 3.1.1 Indian Perspective on Drone Technology 95; 3.2 Utilization of Drones in Agricultural Practices 97; 3.3 Types of</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Drones and Sensors 101; 3.3.1 Drones Based on Design 101; 3.3.2 Drones Based on Weight 103; 3.3.3 Drones Based on Sensors 105; 3.4 Agricultural Drone Industry in India 107; 3.4.1 An Overview of India’s Farming Drone Business 108; 3.4.2 Major Organizations in India’s Agricultural Drone Industry 109; 3.5 Competitive Analysis of the Drone Market in the Agriculture Sector in India 113; 3.5.1 Prominent International Stakeholders 113; 3.5.2 Strategic Approach Used by Market Players 114; 3.5.3 Newest Trends in the Indian Market 116; 3.5.4 Barriers to Entry in the Indian Market 118; 3.6 Revenue and Growth of the Indian Drone Market 120; 3.6.1 Past Revenue Patterns and Future Growth Forecasts for the Drone Industry in the Farming Sector 121; 3.6.2 Revenue-Growing Components 121; 3.7 Successful Case Studies of Agriculture Drone in India 123; 3.8 Regulatory Frameworks Impacting the Use of Drones in Agriculture 126; 3.8.1 Directorate General of Civil Aviation Guidelines for Farming Drones</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - 126; 3.8.2 Restricted Zone for Drone Flying in India 128; 3.9 Conclusion and Future Directions 130; References 131; 4 Applications of AI in UAVs Using In-Flight Parameters 137; Yogesh Beeharry and Raviduth Ramful; 4.1 Introduction 138; 4.1.1 UAV Technology 139; 4.1.2 UAV Navigation Technology 141; 4.1.2.1 Autonomous Navigation Systems 142; 4.1.3 Artificial Intelligence for UAV Navigation 145; 4.1.4 Regression-Based Predictive Models 146; 4.1.4.1 Linear Regression 146; 4.1.4.2 Regression Decision Tree 146; 4.1.4.3 Ensemble of Regression Learners 148; 4.1.4.4 Gaussian Process Regression 148; 4.1.4.5 Kernel Regression 148; 4.1.4.6 Regression Neural Network 149; 4.1.4.7 Regression Support Vector Machine 150; 4.2 Methodology 151; 4.2.1 Existing Datasets for UAV Navigation 151; 4.2.1.1 UAV Delivery Dataset 151; 4.2.1.2 Hull Drone Indoor Navigation (HDIN) Dataset 151; 4.2.1.3 UAVVAste Dataset 151; 4.2.2 Selected Dataset 151; 4.2.3 System Model 153; 4.3 Results for Instantaneous Power versus</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Wind Speed 154; 4.3.1 Linear Regression Model 154; 4.3.2 Regression Decision Tree Model 155; 4.3.3 Ensemble of Regression Learners Model 157; 4.3.4 Gaussian Process Regression Model 158; 4.3.5 Kernel Regression Model 159; 4.3.6 Regression Neural Network Model 161; 4.3.7 Regression Support Vector Machine 162; 4.4 Results for Instantaneous Power versus Wind Speed and Wind Angle 163; 4.4.1 Linear Regression Model 163; 4.4.2 Regression Decision Tree Model 165; 4.4.3 Ensemble of Regression Learners Model 166; 4.4.4 Gaussian Process Regression Model 168; 4.4.5 Kernel Regression Model 169; 4.4.6 Regression Neural Network Model 170; 4.4.7 Regression Support Vector Machine Model 171; 4.5 Comparative Analysis of Results 174; 4.6 Conclusion and Future Scope 174; References 175; 5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce 181; Vu Duy Trung, Phuong Anh Nguyen, Toh Yan Chi, Phung Thao Vi,</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Satyam Mishra and Le Anh Ngoc; 5.1 Introduction 182; 5.2 Literature Review 185; 5.2.1 Overview of Drone Technology in E-Commerce 185; 5.2.2 Current Challenges in Drone Fleet Management for Last-Mile Delivery 186; 5.2.3 State-of-the-Art Machine Learning Algorithms for Drone Optimization 187; 5.2.4 Previous Studies on Face-Tracking and Line-Follower Drones 189; 5.3 Methodology 192; 5.3.1 Research Design and Approach 192; 5.3.2 Data Collection and Sources 193; 5.3.3 Programming Process 197; 5.3.4 Experimental Setup for Face-Tracking Drone Development 199; 5.3.5 Experimental Setup for Line-Follower Drone Development 204; 5.4 Results and Discussion 208; 5.4.1 Performance Analysis of Face-Tracker Drone 208; 5.4.2 Performance Analysis of Line-Follower Drone 211; 5.4.3 Comparison with Existing Solutions 213; 5.4.4 Interpretation of Findings 214; 5.5 Conclusion and Future Scope 215; References 218; 6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response 225; Yan</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Chi Toh, Phuong Anh Nguyen, Satyam Mishra, Vu Duy Trung, Phung Thao Vi and Le Anh Ngoc; 6.1 Introduction 226; 6.2 Literature Review 229; 6.3 Research Methodology 231; 6.3.1 Research Design 231; 6.3.2 Test Case Development 231; 6.3.3 Drone Platform and Equipment 232; 6.3.4 Surveillance and Mapping Software 234; 6.3.5 Test Execution 234; 6.3.6 Data Analysis 236; 6.3.7 Ethical Considerations 237; 6.3.8 Drone Surveillance 237; 6.3.9 Drone Mapping 239; 6.4 Data Collection and Analysis 241; 6.4.1 Data Collection 241; 6.4.2 Quantitative Analysis 247; 6.4.3 Key Results 251; 6.5 Results and Discussion 252; 6.6 Conclusion, Recommendations, and Future Scope 255; References 258; 7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems 263; Soumya Pandey,</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Neeta Kumari and Lovely Mallick; 7.1 Introduction 264; 7.1.1 Global Initiatives Towards Land Degradation 267; 7.2 Processes of Land Degradation 269; 7.2.1 Soil Loss 269; 7.2.2 Land Use Land Cover 271; 7.2.3 Climate Change 273; 7.2.4 Hydrological Cycles 274; 7.2.5 Salinization 275; 7.2.6 Heavy Metal Pollution 275; 7.2.7 Plastic Pollution 276; 7.3 Geospatial Application in Addressing the Land Degradation 277; 7.4 Components of Unmanned Aircraft Systems (UASs) 281; 7.5 Data Collection and Processing for UAVs 283; 7.5.1 Pre-Flight Planning 283; 7.5.2 Sensors 284; 7.5.2.1 Optical Sensors 285; 7.5.2.2 Fluorescence Sensors 285; 7.5.2.3 Thermal Infrared Sensors 286; 7.5.2.4 LiDAR Sensors 286; 7.5.2.5 Gas Sensors 287; 7.5.2.6 Photogrammetric Sensors 288; 7.5.3 Platforms—Advantages and Disadvantages 289; 7.5.3.1 Fixed-Wing UAS 289; 7.5.3.2 Multirotor UAS 290; 7.5.3.3 Hybrid UAS 292; 7.5.3.4 Tethered UAS 294; 7.6 Advantages of UAS Integrated with GIS for Land Degradation Monitoring 295; 7.6.1</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a"> - Selection of UAS 296; 7.7 Application of UAV in Land Degradation Monitoring and Assessment 297; 7.8 Conclusion and Future Scope 298; References 299; 8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World 313; Bhupinder Singh; 8.1 Introduction 314; 8.1.1 Significance of Unmanned Aircraft Systems (UASs): Exponential Growth Across Industries 315; 8.1.2 Unmanned Aircraft Systems (UASs): High Sky Exploring the Strange New World 317; 8.1.3 Scope of the Chapter 319; 8.2 Evolution of Unmanned Aircraft Systems: Origin and Widespread Applications in Commercial and Civilian Sectors 322; 8.2.1 Motivations for UAS Assimilation 325; 8.3 Surveillance Applications and Ethical Considerations: Advantages and Challenges Associated with Surveilla</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Maschinenbau, Fertigungstechnik</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kumar, Manoj</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nayyar, Anand</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mahajan, Shubham</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035491437</subfield></datafield></record></collection> |
| id | DE-604.BV050155210 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-05T23:00:08Z |
| institution | BVB |
| isbn | 9781394230617 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035491437 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | 688 Seiten |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | WILEY-VCH |
| record_format | marc |
| spelling | Gupta, Sachin Kumar Verfasser aut Unmanned Aircraft Systems WILEY-VCH 2024 688 Seiten txt rdacontent n rdamedia nc rdacarrier This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development. With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters. Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas Preface xix; 1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges 1; Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, - Sachin Chaudhary and Shahanawaj Ahamad; 1.1 Introduction 2; 1.1.1 Overview of Unmanned Aircraft Systems (UAS) 3; 1.1.2 Historical Development and Evolution of UAS 6; 1.1.3 Importance and Impact of UAS Technology 8; 1.2 UAS Fundamentals 11; 1.2.1 UAS Components and Architecture 11; 1.2.2 UAS Control and Navigation Systems 14; 1.3 Literature Review 16; 1.4 UAS Applications 20; 1.4.1 Military and Defense Applications 20; 1.4.2 Civil and Commercial Applications 21; 1.4.3 Scientific and Research Applications 22; 1.5 UAS Regulations and Challenges 24; 1.5.1 Regulatory Framework for UAS Operations 24; 1.5.1.1 National and International Regulations 24; 1.5.1.2 Licensing and Certification Requirements 26; 1.5.1.3 Airspace Integration and Traffic Management 27; 1.5.2 Safety and Security Considerations 29; 1.5.2.1 Collision Avoidance and Risk Mitigation 30; 1.5.2.2 Cybersecurity and Data Protection 30; 1.5.2.3 Emergency Procedures and Contingency Planning 30; 1.5.3 Ethical and Legal Challenges - 31; 1.5.3.1 Privacy and Surveillance Concerns 31; 1.5.3.2 Liability and Accountability Issues 32; 1.5.3.3 Public Perception and Acceptance 32; 1.5.3.4 UAS Performance Metrics 32; 1.6 Technological Advancements and Future Trends 34; 1.6.1 Emerging Technologies in UAS 34; 1.6.1.1 AI and ml 34; 1.6.1.2 Swarming and Cooperative Systems 36; 1.6.1.3 Extended Flight Endurance and Range 37; 1.6.2 Integration of UAS with Other Technologies 38; 1.6.2.1 IoT and Sensor Networks 38; 1.6.2.2 5G and Communication Infrastructure 40; 1.6.2.3 Augmented Reality (AR) and Virtual Reality (vr) 43; 1.6.3 Future Applications and Impacts of UAS 45; 1.6.3.1 Urban Air Mobility and Air Taxi Services 45; 1.6.3.2 Medical Delivery and Emergency Response 47; 1.6.3.3 Space Exploration and Planetary Science 48; 1.7 Conclusion 50; 1.7.1 Summary of UAS Technology and Applications 51; 1.7.2 Key Challenges and Opportunities in the UAS Industry 52; 1.7.3 Prospects for Future Development and Adoption of UAS 54; 1.8 Future - Scope 55; References 56; 2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study 65; Harneet Kour, Sachin Kumar Gupta, Shachi Mall, Radha Raman Chandan, - Mohd Najim and Pankaj Jain; 2.1 Introduction 66; 2.2 UAVs’ Exploration on Earth’s Surface 68; 2.2.1 Surveillance 68; 2.2.2 Mapping and Cartography 70; 2.2.3 Environmental Monitoring 71; 2.2.4 Infrastructure Inspection 71; 2.2.5 Agriculture and Crop Monitoring 72; 2.3 UAVs’ Exploration on Mars’ Surface 73; 2.4 In-Depth Analysis of UAVs for Mission Planning and Safety: A Martian Body 76; 2.4.1 Mars Environment and Challenges 78; 2.4.2 Design Considerations for Martian UAVs 81; 2.4.3 Development 83; 2.5 Modeling and Simulation of Martian UAVs 85; 2.5.1 Path Planning and Navigation 87; 2.5.2 Image Processing and Data Analysis 88; 2.5.3 Communication and Data Transmission 89; 2.6 Conclusion and Future Scope 89; References 90; 3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming 93; Rahul Joshi and Krishna Pandey; 3.1 Introduction 94; 3.1.1 Indian Perspective on Drone Technology 95; 3.2 Utilization of Drones in Agricultural Practices 97; 3.3 Types of - Drones and Sensors 101; 3.3.1 Drones Based on Design 101; 3.3.2 Drones Based on Weight 103; 3.3.3 Drones Based on Sensors 105; 3.4 Agricultural Drone Industry in India 107; 3.4.1 An Overview of India’s Farming Drone Business 108; 3.4.2 Major Organizations in India’s Agricultural Drone Industry 109; 3.5 Competitive Analysis of the Drone Market in the Agriculture Sector in India 113; 3.5.1 Prominent International Stakeholders 113; 3.5.2 Strategic Approach Used by Market Players 114; 3.5.3 Newest Trends in the Indian Market 116; 3.5.4 Barriers to Entry in the Indian Market 118; 3.6 Revenue and Growth of the Indian Drone Market 120; 3.6.1 Past Revenue Patterns and Future Growth Forecasts for the Drone Industry in the Farming Sector 121; 3.6.2 Revenue-Growing Components 121; 3.7 Successful Case Studies of Agriculture Drone in India 123; 3.8 Regulatory Frameworks Impacting the Use of Drones in Agriculture 126; 3.8.1 Directorate General of Civil Aviation Guidelines for Farming Drones - 126; 3.8.2 Restricted Zone for Drone Flying in India 128; 3.9 Conclusion and Future Directions 130; References 131; 4 Applications of AI in UAVs Using In-Flight Parameters 137; Yogesh Beeharry and Raviduth Ramful; 4.1 Introduction 138; 4.1.1 UAV Technology 139; 4.1.2 UAV Navigation Technology 141; 4.1.2.1 Autonomous Navigation Systems 142; 4.1.3 Artificial Intelligence for UAV Navigation 145; 4.1.4 Regression-Based Predictive Models 146; 4.1.4.1 Linear Regression 146; 4.1.4.2 Regression Decision Tree 146; 4.1.4.3 Ensemble of Regression Learners 148; 4.1.4.4 Gaussian Process Regression 148; 4.1.4.5 Kernel Regression 148; 4.1.4.6 Regression Neural Network 149; 4.1.4.7 Regression Support Vector Machine 150; 4.2 Methodology 151; 4.2.1 Existing Datasets for UAV Navigation 151; 4.2.1.1 UAV Delivery Dataset 151; 4.2.1.2 Hull Drone Indoor Navigation (HDIN) Dataset 151; 4.2.1.3 UAVVAste Dataset 151; 4.2.2 Selected Dataset 151; 4.2.3 System Model 153; 4.3 Results for Instantaneous Power versus - Wind Speed 154; 4.3.1 Linear Regression Model 154; 4.3.2 Regression Decision Tree Model 155; 4.3.3 Ensemble of Regression Learners Model 157; 4.3.4 Gaussian Process Regression Model 158; 4.3.5 Kernel Regression Model 159; 4.3.6 Regression Neural Network Model 161; 4.3.7 Regression Support Vector Machine 162; 4.4 Results for Instantaneous Power versus Wind Speed and Wind Angle 163; 4.4.1 Linear Regression Model 163; 4.4.2 Regression Decision Tree Model 165; 4.4.3 Ensemble of Regression Learners Model 166; 4.4.4 Gaussian Process Regression Model 168; 4.4.5 Kernel Regression Model 169; 4.4.6 Regression Neural Network Model 170; 4.4.7 Regression Support Vector Machine Model 171; 4.5 Comparative Analysis of Results 174; 4.6 Conclusion and Future Scope 174; References 175; 5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce 181; Vu Duy Trung, Phuong Anh Nguyen, Toh Yan Chi, Phung Thao Vi, - Satyam Mishra and Le Anh Ngoc; 5.1 Introduction 182; 5.2 Literature Review 185; 5.2.1 Overview of Drone Technology in E-Commerce 185; 5.2.2 Current Challenges in Drone Fleet Management for Last-Mile Delivery 186; 5.2.3 State-of-the-Art Machine Learning Algorithms for Drone Optimization 187; 5.2.4 Previous Studies on Face-Tracking and Line-Follower Drones 189; 5.3 Methodology 192; 5.3.1 Research Design and Approach 192; 5.3.2 Data Collection and Sources 193; 5.3.3 Programming Process 197; 5.3.4 Experimental Setup for Face-Tracking Drone Development 199; 5.3.5 Experimental Setup for Line-Follower Drone Development 204; 5.4 Results and Discussion 208; 5.4.1 Performance Analysis of Face-Tracker Drone 208; 5.4.2 Performance Analysis of Line-Follower Drone 211; 5.4.3 Comparison with Existing Solutions 213; 5.4.4 Interpretation of Findings 214; 5.5 Conclusion and Future Scope 215; References 218; 6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response 225; Yan - Chi Toh, Phuong Anh Nguyen, Satyam Mishra, Vu Duy Trung, Phung Thao Vi and Le Anh Ngoc; 6.1 Introduction 226; 6.2 Literature Review 229; 6.3 Research Methodology 231; 6.3.1 Research Design 231; 6.3.2 Test Case Development 231; 6.3.3 Drone Platform and Equipment 232; 6.3.4 Surveillance and Mapping Software 234; 6.3.5 Test Execution 234; 6.3.6 Data Analysis 236; 6.3.7 Ethical Considerations 237; 6.3.8 Drone Surveillance 237; 6.3.9 Drone Mapping 239; 6.4 Data Collection and Analysis 241; 6.4.1 Data Collection 241; 6.4.2 Quantitative Analysis 247; 6.4.3 Key Results 251; 6.5 Results and Discussion 252; 6.6 Conclusion, Recommendations, and Future Scope 255; References 258; 7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems 263; Soumya Pandey, - Neeta Kumari and Lovely Mallick; 7.1 Introduction 264; 7.1.1 Global Initiatives Towards Land Degradation 267; 7.2 Processes of Land Degradation 269; 7.2.1 Soil Loss 269; 7.2.2 Land Use Land Cover 271; 7.2.3 Climate Change 273; 7.2.4 Hydrological Cycles 274; 7.2.5 Salinization 275; 7.2.6 Heavy Metal Pollution 275; 7.2.7 Plastic Pollution 276; 7.3 Geospatial Application in Addressing the Land Degradation 277; 7.4 Components of Unmanned Aircraft Systems (UASs) 281; 7.5 Data Collection and Processing for UAVs 283; 7.5.1 Pre-Flight Planning 283; 7.5.2 Sensors 284; 7.5.2.1 Optical Sensors 285; 7.5.2.2 Fluorescence Sensors 285; 7.5.2.3 Thermal Infrared Sensors 286; 7.5.2.4 LiDAR Sensors 286; 7.5.2.5 Gas Sensors 287; 7.5.2.6 Photogrammetric Sensors 288; 7.5.3 Platforms—Advantages and Disadvantages 289; 7.5.3.1 Fixed-Wing UAS 289; 7.5.3.2 Multirotor UAS 290; 7.5.3.3 Hybrid UAS 292; 7.5.3.4 Tethered UAS 294; 7.6 Advantages of UAS Integrated with GIS for Land Degradation Monitoring 295; 7.6.1 - Selection of UAS 296; 7.7 Application of UAV in Land Degradation Monitoring and Assessment 297; 7.8 Conclusion and Future Scope 298; References 299; 8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World 313; Bhupinder Singh; 8.1 Introduction 314; 8.1.1 Significance of Unmanned Aircraft Systems (UASs): Exponential Growth Across Industries 315; 8.1.2 Unmanned Aircraft Systems (UASs): High Sky Exploring the Strange New World 317; 8.1.3 Scope of the Chapter 319; 8.2 Evolution of Unmanned Aircraft Systems: Origin and Widespread Applications in Commercial and Civilian Sectors 322; 8.2.1 Motivations for UAS Assimilation 325; 8.3 Surveillance Applications and Ethical Considerations: Advantages and Challenges Associated with Surveilla Maschinenbau, Fertigungstechnik Kumar, Manoj Sonstige oth Nayyar, Anand Sonstige oth Mahajan, Shubham Sonstige oth |
| spellingShingle | Gupta, Sachin Kumar Unmanned Aircraft Systems |
| title | Unmanned Aircraft Systems |
| title_auth | Unmanned Aircraft Systems |
| title_exact_search | Unmanned Aircraft Systems |
| title_full | Unmanned Aircraft Systems |
| title_fullStr | Unmanned Aircraft Systems |
| title_full_unstemmed | Unmanned Aircraft Systems |
| title_short | Unmanned Aircraft Systems |
| title_sort | unmanned aircraft systems |
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