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Wenjian Tang

2 accepted papers

2022

CLRNet: Cross Layer Refinement Network for Lane Detection

CVPR 2022poster

Lane is critical in the vision navigation system of the intelligent vehicle. Naturally, lane is a traffic sign with high-level semantics, whereas it owns the specific local pattern which needs detailed low-level features to localize accurately. Using different feature levels is of great importance f…

Cited by 259PDFcodeScholar
2021

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

AAAI 2021technical

Lane detection is one of the most important tasks in self-driving. Due to various complex scenarios (e.g., severe occlusion, ambiguous lanes, etc.) and the sparse supervisory signals inherent in lane annotations, lane detection task is still challenging. Thus, it is difficult for the ordinary convol…