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Mao Shu

2 accepted papers

2022

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

CVPR 2022poster

Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities. It has been widely agreed that vehicle-infrastructure cooperation is required to achieve Level 5 autonomy. However, there is still NO dataset from real scenario…

Cited by 428PDFcodeScholar
2022

Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

CVPR 2022poster

Concurrent perception datasets for autonomous driving are mainly limited to frontal view with sensors mounted on the vehicle. None of them is designed for the overlooked roadside perception tasks. On the other hand, the data captured from roadside cameras have strengths over frontal-view data, which…

Cited by 135PDFScholar