Abstract
In this paper, a reinforcement learning technique is applied for a vehicle to learn and copy the trace of the forward driving path so that the vehicle can drive the path back to the initial position autonomously. Reinforcement learning algorithm is used to correct the trajectory tracking control where there are both lateral and longitudinal slips of the vehicle. Simulation studies of following the forward path a vehicle passed backward are conducted.
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Acknowledgements
This research has been supported by National Research Foundation of Korea (2016K2A9A2A06004776).
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Kim, H.M., Xu, X., Jung, S. (2019). A Reinforcement Learning Technique for Autonomous Back Driving Control of a Vehicle. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_16
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DOI: https://doi.org/10.1007/978-3-319-78452-6_16
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