Towards safe autonomous driving: decision making with observation-robust reinforcement learning

Most real-world situations involve unavoidable measurement noises or perception errors which result in unsafe decision making or even casualty in autonomous driving. To address these issues and further improve safety, automated driving is required to be capable of handling perception uncertainties....

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Bibliographic Details
Main Authors: He, Xiangkun, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173164
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Institution: Nanyang Technological University
Language: English