Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2200128.pdf
Reference28 articles.
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3. Bhattacharyya A, Reino DO, Fritz M, et al., 2021. Euro-PVI: pedestrian vehicle interactions in dense urban centers. Proc IEEE/CVF Conf on Computer Vision and Pattern Recognition, p.6404–6413. https://doi.org/10.1109/CVPR46437.2021.00634
4. Bouton M, Nakhaei A, Fujimura K, et al., 2018. Scalable decision making with sensor occlusions for autonomous driving. IEEE Int Conf on Robotics and Automation, p.2076–2081. https://doi.org/10.1109/ICRA.2018.8460914
5. Cao Z, Yang DG, Xu SB, et al., 2021. Highway exiting planner for automated vehicles using reinforcement learning. IEEE Trans Intell Transp Syst, 22(2):990–1000. https://doi.org/10.1109/tits.2019.2961739
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