Integrating quantum computing and artificial intelligence (AI) in automotive safety presents a paradigm shift, addressing complex challenges such as real-time traffic management, accident prevention, and system optimization. Quantum computing's principles of superposition, entanglement, and parallelism enhance AI's ability to process and analyze vast datasets, enabling precise and efficient decision-making in dynamic environments. Industry leaders like BMW, Volkswagen, and Waymo demonstrate the transformative potential of quantum-enhanced systems with applications in traffic optimization, autonomous navigation, and predictive maintenance. However, hardware scalability, ethical concerns, and regulatory gaps persist.
Authors: H Swapna, L. B. Muralidhar, N. Sathyanarayana, K. Nethravathi, Digvijay Pandey, A. Shaji George, Pankaj Dadheech
DOI: https://doi.org/10.4018/979-8-3373-0442-7.ch033
Publish Year: 2025
