Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects (Synthesis Lectures on Advances in Automotive Technology) - Hardcover

Kuutti, Sampo; Fallah, Saber; Bowden, Richard

Hardcover

ISBN 10: 1681736160 ISBN 13: 9781681736167

Publisher: Morgan & Claypool Publishers, 2019

Synopsis

The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety.

Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide...

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About this title

About the Author

Sampo Kuutti received his MEng degree in mechanical engineering in 2017 from University of Surrey, Guildford, U.K., where he is currently pursuing a Ph.D. in automotive engineering with the Connected Autonomous Vehicles Lab within the Centre for Automotive Engineering. His research interests include deep learning applied to autonomous vehicles, functional safety validation, and safety and interpretability in machine learning systems.

Edition details

• Publisher: Morgan & Claypool Publishers
• Publication date: 2019
• ISBN 10: 1681736160
• ISBN 13: 9781681736167
• Binding: Hardcover
• Language: English
• Number of pages: 82