Zewen Zheng — accepted AI-conference papers

2024

Bi2Lane: Bi-Directional Temporal Refinement with Bi-Level Feature Aggregation for 3D Lane Detection

Chengxin Li, Yihui Hu, Zewen Zheng, Xiang Gao, Yongqiang Mou, Peng Nie +1

ICRA 2024poster

Monocular 3D lane detection has recently received increasing research attention in autonomous driving due to its application effectiveness and simplicity. However, depending solely on the limited semantic information from a single image makes current monocular detection methods unable to deal with c…

Cited by 0 Source ↗Scholar ↗

2024

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou, Xiang Gao, Chengxin Li, Guoheng Huang +2

AAAI 2024technical

Monocular 3D lane detection is essential for a reliable autonomous driving system and has recently been rapidly developing. Existing popular methods mainly employ a predefined 3D anchor for lane detection based on front-viewed (FV) space, aiming to mitigate the effects of view transformations. Howev…

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