Explainable artificial intelligence for autonomous vehicles: concepts, challenges, and applications
"The book "Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications" is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in d...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2024
|
| Ausgabe: | First edition |
| Schriftenreihe: | Explainable AI (XAI) for engineering applications
|
| Schlagworte: | |
| Online-Zugang: | DE-824 Volltext |
| Zusammenfassung: | "The book "Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications" is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering"-- |
| Beschreibung: | OCLC-licensed vendor bibliographic record |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781003502432 1003502431 9781040099292 1040099297 9781040099346 1040099343 |
| DOI: | 10.1201/9781003502432 |
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| 520 | |a "The book "Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications" is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. | ||
| 520 | |a Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. | ||
| 520 | |a It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering"-- | ||
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| illustrated | Not Illustrated |
| indexdate | 2025-04-03T12:00:53Z |
| institution | BVB |
| isbn | 9781003502432 1003502431 9781040099292 1040099297 9781040099346 1040099343 |
| language | English |
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| series2 | Explainable AI (XAI) for engineering applications |
| spelling | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications edited by Kamal Malik, Moolchand Sharma, Suman Deswal, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi First edition Boca Raton, FL CRC Press 2024 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Explainable AI (XAI) for engineering applications OCLC-licensed vendor bibliographic record "The book "Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications" is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering"-- COMPUTERS / Computer Engineering bisacsh Automated vehicles Intelligent transportation systems Malik, Kamal edt Erscheint auch als Druck-Ausgabe 9781032655017 Erscheint auch als Druck-Ausgabe 9781032819969 https://doi.org/10.1201/9781003502432 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications COMPUTERS / Computer Engineering bisacsh Automated vehicles Intelligent transportation systems |
| title | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications |
| title_auth | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications |
| title_exact_search | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications |
| title_full | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications edited by Kamal Malik, Moolchand Sharma, Suman Deswal, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi |
| title_fullStr | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications edited by Kamal Malik, Moolchand Sharma, Suman Deswal, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi |
| title_full_unstemmed | Explainable artificial intelligence for autonomous vehicles concepts, challenges, and applications edited by Kamal Malik, Moolchand Sharma, Suman Deswal, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi |
| title_short | Explainable artificial intelligence for autonomous vehicles |
| title_sort | explainable artificial intelligence for autonomous vehicles concepts challenges and applications |
| title_sub | concepts, challenges, and applications |
| topic | COMPUTERS / Computer Engineering bisacsh Automated vehicles Intelligent transportation systems |
| topic_facet | COMPUTERS / Computer Engineering Automated vehicles Intelligent transportation systems |
| url | https://doi.org/10.1201/9781003502432 |
| work_keys_str_mv | AT malikkamal explainableartificialintelligenceforautonomousvehiclesconceptschallengesandapplications |