Robotic Navigation and Mapping with Radar:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Norwood
Artech House
2012
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | 4.3.2 Probabilistic Robotic Localization Robotic Navigation and Mapping with Radar; Contents; Preface; Acknowledgments; Acronyms; Nomenclature; Chapter 1 Introduction; 1.1 Isn't Navigation and Mapping with Radar Solved?; 1.1.1 Applying Missile/Aircraft Guidance Technologies to Robotic Vehicles; 1.1.2 Placing Autonomous Navigation of Robotic Vehicles into Perspective; 1.2 Why Radar in Robotics? Motivation; 1.3 The Direction of Radar-based Robotics Research; 1.3.1 Mining Applications; 1.3.2 Intelligent Transportation System Applications; 1.3.3 Land-Based SLAM Applications; 1.3.4 Coastal Marine Applications; 1.4 Structure of the Book ReferencesPART I: Fundamentals of Radar and Robotic Navigation; Chapter 2 A Brief Overview of Radar Fundamentals; 2.1 Introduction; 2.2 Radar Measurements; 2.3 The Radar Equation; 2.4 Radar Signal Attenuation; 2.5 Measurement Power Compression and Range Compensation; 2.5.1 Logarithmic Compression; 2.5.2 Range Compensation; 2.5.3 Logarithmic Compression and Range Compensation During Target Absence; 2.5.4 Logarithmic Compression and Range Compensation During Target Presence; 2.6 Radar-Range Measurement Techniques; 2.6.1 Time-of-Flight (TOF)-Pulsed Radar 2.6.2 Frequency Modulated Continuous Wave (FMCW) Radar2.6.2.2 Doppler Measurements; 2.6.2.3 Multiple Line-of-Sight Targets; 2.7 Sources of Uncertainty in Radar; 2.7.1 Sources of Uncertainty Common to All Radar Types; 2.8 Uncertainty Specific to TOF and FMCW Radar; 2.8.1 Uncertainty in TOF Radars; 2.8.2 Uncertainty in FMCW Radars; 2.9 Polar to Cartesian Data Transformation; 2.9.1 Nearest Neighbor Polar to Cartesian Data Conversion; 2.9.2 Weighted Polar to Cartesian Data Conversion; 2.10 Summary; 2.11 Bibliographical Remarks; 2.11.1 Extensions to the Radar Equation 2.11.2 Signal Propagation/Attenuation2.11.3 Range Measurement Methods; 2.11.4 Uncertainty in Radar; References; Chapter 3 An Introduction to Detection Theory; 3.1 Introduction; 3.2 Concepts of Detection Theory; 3.3 Different Approaches to Target Detection; 3.3.1 Non-adaptive Detection; 3.3.2 Hypothesis Free Modeling; 3.3.3 Stochastic-Based Adaptive Detection; 3.4 Detection Theory with Known Noise Statistics; 3.4.1 Constant CFARPfa with Known Noise Statistics; 3.4.2 Probability of Detection CFARPD with Known Noise Statistics 3.4.3 Probabilities of Missed Detection CFARPMD and Noise CFARPn with Known Noise Statistics3.5 Detection with Unknown Noise Statistics-Adaptive CFAR Processors; 3.5.1 Cell Averaging-CA-CFAR Processors; 3.5.2 Ordered Statistics-OS-CFAR Processors; 3.6 Summary; 3.7 Bibliographical Remarks; References; Chapter 4 Robotic Navigation and Mapping; 4.1 Introduction; 4.2 General Bayesian SLAM-The Joint Problem; 4.2.1 Vehicle State Representation; 4.2.2 Map Representation; 4.3 Solving Robot Mapping and Localization Individually; 4.3.1 Probabilistic Robotic Mapping Focusing on autonomous robotic applications, this cutting-edge resource offers you a practical treatment of short-range radar processing for reliable object detection at the ground level. This unique book demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles. It examines grid based robotic mapping with radar based on measurement likelihood estimation. You find detailed coverage of simultaneous localization and Map Building (SLAM) - an area referred to as the "Holy Grail" of autonomous robotic research. The book derives an extended Kalman Filter |
| Beschreibung: | 1 Online-Ressource (377 pages) |
| ISBN: | 160807482X 1608074838 9781608074822 9781608074839 |
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| 500 | |a 4.3.2 Probabilistic Robotic Localization | ||
| 500 | |a Robotic Navigation and Mapping with Radar; Contents; Preface; Acknowledgments; Acronyms; Nomenclature; Chapter 1 Introduction; 1.1 Isn't Navigation and Mapping with Radar Solved?; 1.1.1 Applying Missile/Aircraft Guidance Technologies to Robotic Vehicles; 1.1.2 Placing Autonomous Navigation of Robotic Vehicles into Perspective; 1.2 Why Radar in Robotics? Motivation; 1.3 The Direction of Radar-based Robotics Research; 1.3.1 Mining Applications; 1.3.2 Intelligent Transportation System Applications; 1.3.3 Land-Based SLAM Applications; 1.3.4 Coastal Marine Applications; 1.4 Structure of the Book | ||
| 500 | |a ReferencesPART I: Fundamentals of Radar and Robotic Navigation; Chapter 2 A Brief Overview of Radar Fundamentals; 2.1 Introduction; 2.2 Radar Measurements; 2.3 The Radar Equation; 2.4 Radar Signal Attenuation; 2.5 Measurement Power Compression and Range Compensation; 2.5.1 Logarithmic Compression; 2.5.2 Range Compensation; 2.5.3 Logarithmic Compression and Range Compensation During Target Absence; 2.5.4 Logarithmic Compression and Range Compensation During Target Presence; 2.6 Radar-Range Measurement Techniques; 2.6.1 Time-of-Flight (TOF)-Pulsed Radar | ||
| 500 | |a 2.6.2 Frequency Modulated Continuous Wave (FMCW) Radar2.6.2.2 Doppler Measurements; 2.6.2.3 Multiple Line-of-Sight Targets; 2.7 Sources of Uncertainty in Radar; 2.7.1 Sources of Uncertainty Common to All Radar Types; 2.8 Uncertainty Specific to TOF and FMCW Radar; 2.8.1 Uncertainty in TOF Radars; 2.8.2 Uncertainty in FMCW Radars; 2.9 Polar to Cartesian Data Transformation; 2.9.1 Nearest Neighbor Polar to Cartesian Data Conversion; 2.9.2 Weighted Polar to Cartesian Data Conversion; 2.10 Summary; 2.11 Bibliographical Remarks; 2.11.1 Extensions to the Radar Equation | ||
| 500 | |a 2.11.2 Signal Propagation/Attenuation2.11.3 Range Measurement Methods; 2.11.4 Uncertainty in Radar; References; Chapter 3 An Introduction to Detection Theory; 3.1 Introduction; 3.2 Concepts of Detection Theory; 3.3 Different Approaches to Target Detection; 3.3.1 Non-adaptive Detection; 3.3.2 Hypothesis Free Modeling; 3.3.3 Stochastic-Based Adaptive Detection; 3.4 Detection Theory with Known Noise Statistics; 3.4.1 Constant CFARPfa with Known Noise Statistics; 3.4.2 Probability of Detection CFARPD with Known Noise Statistics | ||
| 500 | |a 3.4.3 Probabilities of Missed Detection CFARPMD and Noise CFARPn with Known Noise Statistics3.5 Detection with Unknown Noise Statistics-Adaptive CFAR Processors; 3.5.1 Cell Averaging-CA-CFAR Processors; 3.5.2 Ordered Statistics-OS-CFAR Processors; 3.6 Summary; 3.7 Bibliographical Remarks; References; Chapter 4 Robotic Navigation and Mapping; 4.1 Introduction; 4.2 General Bayesian SLAM-The Joint Problem; 4.2.1 Vehicle State Representation; 4.2.2 Map Representation; 4.3 Solving Robot Mapping and Localization Individually; 4.3.1 Probabilistic Robotic Mapping | ||
| 500 | |a Focusing on autonomous robotic applications, this cutting-edge resource offers you a practical treatment of short-range radar processing for reliable object detection at the ground level. This unique book demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles. It examines grid based robotic mapping with radar based on measurement likelihood estimation. You find detailed coverage of simultaneous localization and Map Building (SLAM) - an area referred to as the "Holy Grail" of autonomous robotic research. The book derives an extended Kalman Filter | ||
| 650 | 4 | |a Robots, Industrial | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Engineering (General) |2 bisacsh | |
| 650 | 7 | |a Autonomous robots |2 fast | |
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| 650 | 7 | |a Radar in navigation |2 fast | |
| 650 | 7 | |a Robots / Control systems |2 fast | |
| 650 | 4 | |a Mobile robots |x Automatic control | |
| 650 | 4 | |a Autonomous robots | |
| 650 | 4 | |a Robots |x Control systems | |
| 650 | 4 | |a Radar in navigation | |
| 700 | 1 | |a Jose, Ebi |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Adams, Martin |
| author_facet | Adams, Martin |
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| author_sort | Adams, Martin |
| author_variant | m a ma |
| building | Verbundindex |
| bvnumber | BV043112564 |
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| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
| dewey-sort | 3629.8 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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| id | DE-604.BV043112564 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:48Z |
| institution | BVB |
| isbn | 160807482X 1608074838 9781608074822 9781608074839 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028536755 |
| oclc_num | 827208357 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (377 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
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| publisher | Artech House |
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| spelling | Adams, Martin Verfasser aut Robotic Navigation and Mapping with Radar Norwood Artech House 2012 1 Online-Ressource (377 pages) txt rdacontent c rdamedia cr rdacarrier 4.3.2 Probabilistic Robotic Localization Robotic Navigation and Mapping with Radar; Contents; Preface; Acknowledgments; Acronyms; Nomenclature; Chapter 1 Introduction; 1.1 Isn't Navigation and Mapping with Radar Solved?; 1.1.1 Applying Missile/Aircraft Guidance Technologies to Robotic Vehicles; 1.1.2 Placing Autonomous Navigation of Robotic Vehicles into Perspective; 1.2 Why Radar in Robotics? Motivation; 1.3 The Direction of Radar-based Robotics Research; 1.3.1 Mining Applications; 1.3.2 Intelligent Transportation System Applications; 1.3.3 Land-Based SLAM Applications; 1.3.4 Coastal Marine Applications; 1.4 Structure of the Book ReferencesPART I: Fundamentals of Radar and Robotic Navigation; Chapter 2 A Brief Overview of Radar Fundamentals; 2.1 Introduction; 2.2 Radar Measurements; 2.3 The Radar Equation; 2.4 Radar Signal Attenuation; 2.5 Measurement Power Compression and Range Compensation; 2.5.1 Logarithmic Compression; 2.5.2 Range Compensation; 2.5.3 Logarithmic Compression and Range Compensation During Target Absence; 2.5.4 Logarithmic Compression and Range Compensation During Target Presence; 2.6 Radar-Range Measurement Techniques; 2.6.1 Time-of-Flight (TOF)-Pulsed Radar 2.6.2 Frequency Modulated Continuous Wave (FMCW) Radar2.6.2.2 Doppler Measurements; 2.6.2.3 Multiple Line-of-Sight Targets; 2.7 Sources of Uncertainty in Radar; 2.7.1 Sources of Uncertainty Common to All Radar Types; 2.8 Uncertainty Specific to TOF and FMCW Radar; 2.8.1 Uncertainty in TOF Radars; 2.8.2 Uncertainty in FMCW Radars; 2.9 Polar to Cartesian Data Transformation; 2.9.1 Nearest Neighbor Polar to Cartesian Data Conversion; 2.9.2 Weighted Polar to Cartesian Data Conversion; 2.10 Summary; 2.11 Bibliographical Remarks; 2.11.1 Extensions to the Radar Equation 2.11.2 Signal Propagation/Attenuation2.11.3 Range Measurement Methods; 2.11.4 Uncertainty in Radar; References; Chapter 3 An Introduction to Detection Theory; 3.1 Introduction; 3.2 Concepts of Detection Theory; 3.3 Different Approaches to Target Detection; 3.3.1 Non-adaptive Detection; 3.3.2 Hypothesis Free Modeling; 3.3.3 Stochastic-Based Adaptive Detection; 3.4 Detection Theory with Known Noise Statistics; 3.4.1 Constant CFARPfa with Known Noise Statistics; 3.4.2 Probability of Detection CFARPD with Known Noise Statistics 3.4.3 Probabilities of Missed Detection CFARPMD and Noise CFARPn with Known Noise Statistics3.5 Detection with Unknown Noise Statistics-Adaptive CFAR Processors; 3.5.1 Cell Averaging-CA-CFAR Processors; 3.5.2 Ordered Statistics-OS-CFAR Processors; 3.6 Summary; 3.7 Bibliographical Remarks; References; Chapter 4 Robotic Navigation and Mapping; 4.1 Introduction; 4.2 General Bayesian SLAM-The Joint Problem; 4.2.1 Vehicle State Representation; 4.2.2 Map Representation; 4.3 Solving Robot Mapping and Localization Individually; 4.3.1 Probabilistic Robotic Mapping Focusing on autonomous robotic applications, this cutting-edge resource offers you a practical treatment of short-range radar processing for reliable object detection at the ground level. This unique book demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles. It examines grid based robotic mapping with radar based on measurement likelihood estimation. You find detailed coverage of simultaneous localization and Map Building (SLAM) - an area referred to as the "Holy Grail" of autonomous robotic research. The book derives an extended Kalman Filter Robots, Industrial TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Autonomous robots fast Mobile robots / Automatic control fast Radar in navigation fast Robots / Control systems fast Mobile robots Automatic control Autonomous robots Robots Control systems Radar in navigation Jose, Ebi Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=753571 Aggregator Volltext |
| spellingShingle | Adams, Martin Robotic Navigation and Mapping with Radar Robots, Industrial TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Autonomous robots fast Mobile robots / Automatic control fast Radar in navigation fast Robots / Control systems fast Mobile robots Automatic control Autonomous robots Robots Control systems Radar in navigation |
| title | Robotic Navigation and Mapping with Radar |
| title_auth | Robotic Navigation and Mapping with Radar |
| title_exact_search | Robotic Navigation and Mapping with Radar |
| title_full | Robotic Navigation and Mapping with Radar |
| title_fullStr | Robotic Navigation and Mapping with Radar |
| title_full_unstemmed | Robotic Navigation and Mapping with Radar |
| title_short | Robotic Navigation and Mapping with Radar |
| title_sort | robotic navigation and mapping with radar |
| topic | Robots, Industrial TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh Autonomous robots fast Mobile robots / Automatic control fast Radar in navigation fast Robots / Control systems fast Mobile robots Automatic control Autonomous robots Robots Control systems Radar in navigation |
| topic_facet | Robots, Industrial TECHNOLOGY & ENGINEERING / Engineering (General) Autonomous robots Mobile robots / Automatic control Radar in navigation Robots / Control systems Mobile robots Automatic control Robots Control systems |
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| work_keys_str_mv | AT adamsmartin roboticnavigationandmappingwithradar AT joseebi roboticnavigationandmappingwithradar |