Learning Risk Map for Autonomous Driving in Partially Observable Environments
Published in IEEE Robotics and Automation Letters (RAL), 2025
This paper presents a novel approach for learning risk maps in autonomous driving scenarios under partial observability constraints, utilizing advanced spatiotemporal modeling and diffusion models.
Recommended citation: Hong, Y., Ding, W. et al. (2025). "Learning Risk Map for Autonomous Driving in Partially Observable Environments." IEEE Robotics and Automation Letters (RAL). (Under Review)
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