A Survey of Deep Learning Applications to Autonomous 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 met...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2021-02, Vol.22 (2), p.712-733
Hauptverfasser:	Kuutti, Sampo, Bowden, Richard, Jin, Yaochu, Barber, Phil, Fallah, Saber
Format:	Artikel
Sprache:	eng
Schlagworte:	advanced driver assistance Autonomous vehicles computer vision Control systems design Deep learning intelligent control Intelligent transportation systems Linear control Machine learning Neural networks Nonlinear analysis Nonlinear control Object recognition Perception Reinforcement learning Semantic segmentation Sensors Task analysis Teaching methods Training
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