Computing Systems for Autonomous Driving [electronic resource] /
Material type: TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XII, 232 p. 70 illus., 62 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783030815646
- 006.30285436 23
- QA76.76.I58
Autonomous Driving Landscape -- Computing Framework for Autonomous Driving -- Algorithm Deployment Optimization -- Systems Runtime Optimization -- Dataset and Benchmark -- Autonomous Driving Simulators -- Hardware Platforms -- Smart Infrastructure for Autonomous Driving -- Challenges and Open Problems.
This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. Computing Systems for Autonomous Driving provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference foruniversity courses on autonomous vehicle technologies.
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