Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real

9 Sep 2018 Jiachen Li Hengbo Ma Wei Zhan Masayoshi Tomizuka

Accurate and robust recognition and prediction of traffic situation plays an important role in autonomous driving, which is a prerequisite for risk assessment and effective decision making. Although there exist a lot of works dealing with modeling driver behavior of a single object, it remains a challenge to make predictions for multiple highly interactive agents that react to each other simultaneously... (read more)

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