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Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications by Kamal Malik; Moolchand Sharma; Suman Deswal; Umesh Gupta; Deevyankar Agarwal; Yahya Obaid Bakheet Al Shamsi is a nonfiction available to read on EtoBox.

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Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainableartificial intelligence (XAI) in the context of autonomous vehicles. It begins withan 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 dir

Who reads Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications?

Author

Kamal Malik; Moolchand Sharma; Suman Deswal; Umesh Gupta; Deevyankar Agarwal; Yahya Obaid Bakheet Al Shamsi

Publisher

CRC Press

Published

2025

Language

EN

ISBN

9781003502432

Category

nonfiction

Subjects

Engineering, Stem