no code implementations • 11 Apr 2024 • Ji Liu, Zifeng Zhang, Mingjie Lu, Hongyang Wei, Dong Li, Yile Xie, Jinzhang Peng, Lu Tian, Ashish Sirasao, Emad Barsoum
We analyze that dense anchors are not necessary for lane detection, and propose a transformer-based lane detection framework based on a sparse anchor mechanism.
no code implementations • 12 Jan 2024 • Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao
Our method also achieves state-of-the-art pruning performance on the vision transformer model.
no code implementations • 4 Jul 2023 • Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao
Previous works such as map learning and BEV lane detection neglect the connection relationship between lane instances, and traffic elements detection tasks usually neglect the relationship with lane lines.
Ranked #2 on 3D Lane Detection on OpenLane-V2 val
no code implementations • 21 Mar 2021 • Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan
Our goal is to train a unified model for improving the performance in each dataset by leveraging information from all the datasets.