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Urban Driving with Conditional Imitation Learning
[article]
2019
arXiv
pre-print
Hand-crafting generalised decision-making rules for real-world urban autonomous driving is hard. Alternatively, learning behaviour from easy-to-collect human driving demonstrations is appealing. Prior work has studied imitation learning (IL) for autonomous driving with a number of limitations. Examples include only performing lane-following rather than following a user-defined route, only using a single camera view or heavily cropped frames lacking state observability, only lateral (steering)
arXiv:1912.00177v2
fatcat:57rjnotxfbak3m433iyjvphkuq