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| Reinforcement learning for End-to-End autonomous driving |
| Keywords | Machine Learning, Deep Learning, Automated driving + |
|---|---|
| Level | Master + |
| OneLineSummary | By using image data as input, and the vehicle steering and acceleration as output control signals, investigate how machine learning can control a vehicle. + |
| StudentProjectStatus | Open + |
| Supervisors | Cristofer Englund + , Alexey Voronov + , Nicholas Wickström + |
| TimeFrame | December 2016 - June 2017 + |
| Title | Reinforcement learning for End-to-End autonomous driving + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 24 October 2016 09:00:41 + |
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