Imminent Collision Mitigation with Reinforcement Learning and Vision

3 Jan 2019Horia PoravPaul Newman

This work examines the role of reinforcement learning in reducing the severity of on-road collisions by controlling velocity and steering in situations in which contact is imminent. We construct a model, given camera images as input, that is capable of learning and predicting the dynamics of obstacles, cars and pedestrians, and train our policy using this model... (read more)

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