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Exploring the Limitations of Behavior Cloning for Autonomous Driving
2019
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Figure 1 . Driving scenarios from our new benchmark, based on the CARLA simulator, where the agent needs to react to dynamic changes in the environment, handle clutter (only part of the environment is causally relevant), and predict complex sensorimotor controls (lateral and longitudinal). We show that Behavior Cloning yields state-of-the-art policies in these complex scenarios and investigate its limitations. Abstract Driving requires reacting to a wide variety of complex environment
doi:10.1109/iccv.2019.00942
dblp:conf/iccv/CodevillaSLG19
fatcat:sbmedxvpwnhjtk6oajprvnw6mi