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Runsheng Guo

2 accepted papers

2022

Rethinking Closed-Loop Training for Autonomous Driving

ECCV 2022poster

"Recent advances in high-fidelity simulators [22,82,44] have enabled closed-loop training of autonomous driving agents, potentially solving the distribution shift in training v.s. deployment and allowing training to be scaled both safely and cheaply. However, there is a lack of understanding of how…

2020

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

ECCV 2020poster

We tackle the problem of exploiting Radar for perception in the context of self-driving as Radar provides complementary information to other sensors such as LiDAR or cameras in the form of Doppler velocity. The main challenges of using Radar are the noise and measurement ambiguities which have been…

Cited by 145SourcePDFScholar