Scenario Understanding and Motion Prediction for Autonomous Vehicles—Review and Comparison

Author:

Karle Phillip1ORCID,Geisslinger Maximilian1,Betz Johannes2ORCID,Lienkamp Markus1

Affiliation:

1. Institute of Automotive Technology, Technical University of Munich, Garching, Germany

2. Real-Time and Embedded Systems Laboratory, University of Pennsylvania, Philadelphia, PA, USA

Funder

MAN Truck & Bus SE

Institute for Ethics in Artificial Intelligence (IEAI), TUM

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference207 articles.

1. Generative adversarial imitation learning;ho;Advances in neural information processing systems,2016

2. Imitating driver behavior with generative adversarial networks

3. Learning robust rewards with adverserial inverse reinforcement learning;fu;Proc Int Conf Learn Represent,2018

4. Planning and Decision-Making for Autonomous Vehicles

5. ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

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