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Jiachen Zhong

2 accepted papers

2023

Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving

CVPR 2023poster

3D object detection is an essential perception task in autonomous driving to understand the environments. The Bird's-Eye-View (BEV) representations have significantly improved the performance of 3D detectors with camera inputs on popular benchmarks. However, there still lacks a systematic understand…

2023

WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels

ICRA 2023poster

Compared to 2D lanes, real 3D lane data is difficult to collect accurately. In this paper, we propose a novel method for training 3D lanes with only 2D lane labels, called weakly supervised 3D lane detection WS-3D-Lane. By assumptions of constant lane width and equal height on adjacent lanes, we ind…

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