Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications [Hardcover]

1. Autonomous Vehicles. 2.?Explainable Artificial Intelligence: Fundamental, Approaches, Challenges, XAI evaluation and validation.?3. Explainable Artificial Intelligence in Autonomous Vehicles: Prospects and Future Direction. 4. XAI Applications in Autonomous Vehicles.?5. Emerging Applications and Future Scope of Internet of Vehicles for Smart Cities- A Survey. 6. Future Issues and Challenges of Internet of Vehicles- A Survey.?7. Feature Designing and Security Considerations in Electrical Vehicles utilizing Explainable AI. 8.?Feature Detection and Feature Visualization in Smart Cars utilizing Explainable AI.

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.

Kamal Malik is currently working as a Professor in CSE in the School of Engineering and Technology at CTU Ludhiana, Punjab, India. She has published Scientific Research Publications in reputed International Journals, including SCI and Scopus indexed Journals.

Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has published scientific research publications in reputed international journals and conferences, including SCI-indexed and Scopus-indexed journals.

Suman Deswal holds a Ph.D. from DCR University of Science & Technology, Murthal, India. She completed her M. Tech (CSE) from Kurukshetra University, Kurukshetra, India, and B. Tech (Computer Science & Engg.) from CR State College of El#2