Deep Learning for Autonomous Vehicle Control - Algorithms, State-of-the-Art, and Future Prospects (Paperback)

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 variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Synthesis Lectures on Advances in Automotive Technology
Release date:	August 2019
First published:	2019
Authors:	Sampo Kuutti • Saber Fallah • Richard Bowden • Phil Barber
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	70
ISBN-13:	978-3-03-100374-5
Languages:	English
Subtitles:	English
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > Highway & traffic engineering Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Transport technology > Automotive technology > General
LSN:	3-03-100374-8
Barcode:	9783031003745

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