Predicting vehicle trajectories with inverse reinforcement learning
Autonomous driving in urban environments is challenging because there are many agents located in the environment all with their own individual agendas. With accurate motion prediction of surrounding agents in the environment, autonomous vehicles can plan for more intelligent behaviors to achieve spe...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263154 |