Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning

arXiv: Robotics, Volume abs/1709.07174, 2017.

Cited by: 10|Views28
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Abstract:

We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost on-board sensors. By imitating a model predictive controller equipped with advanced sensors, we train a deep neural network control policy to map raw, high-dimensional observations to continuous steering and throttle commands. Com...More

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