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Do Hyung Kim

2 accepted papers

2023

RIANet++: Road Graph and Image Attention Networks for Robust Urban Autonomous Driving Under Road Changes

RA-L 2023

The structure of roads plays an important role in designing autonomous driving algorithms. We propose a novel road graph based driving framework, named RIANet++. The proposed framework considers the road structural scene context by incorporating both graphical features of the road and visual informa

Cited by 4SourceScholar
2022

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities

IROS 2022poster

Designing or learning an autonomous driving policy is undoubtedly a challenging task as the policy has to maintain its safety in all corner cases. In order to secure safety in autonomous driving, the ability to detect hazardous situations, which can be seen as an out-of-distribution (OOD) detection…

Cited by 2SourcecodeScholar