Age of Computational AI for Autonomous Vehicles

Autonomous vehicles have made a great impact on research and industrial growth over the past era. The automobile industry is now being revolutionized by self‐driving (or driverless) technology owing to enhanced and advanced autonomous vehicles that make use of cutting‐edge computational methods from...

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Hauptverfasser: Mohanty, Akash, Rahamathunnisa, U, Sudhakar, K, Sathiyaraj, R
Format: Buchkapitel
Sprache:eng
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Zusammenfassung:Autonomous vehicles have made a great impact on research and industrial growth over the past era. The automobile industry is now being revolutionized by self‐driving (or driverless) technology owing to enhanced and advanced autonomous vehicles that make use of cutting‐edge computational methods from the fields of machine intelligence and artificial intelligence (AI). Autonomous vehicles are now able to assess their surroundings with high accuracy, make sensible choices in real‐time environments, and function legitimately without human intervention and technological advancements in the arena of computationally powerful AI algorithms. The development of autonomous vehicles relies heavily on cutting‐edge computational technologies. The chapter aims to review the contemporary methods of computational models over time and presents the computational models in the arena of Machine Learning, its subset Deep Learning and Artificial Intelligence. The chapter initially discusses the role of AI, followed by its autonomy levels. The learning algorithms that perform continual learning are addressed along with advances in intelligent vehicles. We disparagingly evaluate the key issues with computational approaches for driverless complex applications. Integration of computational technologies is presented in brief, addressing how technologies can empower autonomous vehicles. Classification of technological advancements with future directions was given and concluded.
DOI:10.1002/9781119847656.ch2