no code implementations • 15 Mar 2024 • Zhou Jiang, Zhenxin Zhu, Pengfei Li, Huan-ang Gao, Tianyuan Yuan, Yongliang Shi, Hang Zhao, Hao Zhao
On the other hand, we exploit a masked autoencoder to capture the prior distribution of HDMap, which can serve as a refinement module to mitigate occlusions and artifacts.
1 code implementation • 14 Mar 2024 • Tianyuan Yuan, Yucheng Mao, Jiawei Yang, Yicheng Liu, Yue Wang, Hang Zhao
Autonomous vehicles rely extensively on perception systems to navigate and interpret their surroundings.
1 code implementation • 24 Aug 2023 • Tianyuan Yuan, Yicheng Liu, Yue Wang, Yilun Wang, Hang Zhao
This approach limits their stability and performance in complex scenarios such as occlusions, largely due to the absence of temporal information.
1 code implementation • 2 May 2023 • Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
We abstract the features (i. e. learned representations) of multi-modal data into 1) uni-modal features, which can be learned from uni-modal training, and 2) paired features, which can only be learned from cross-modal interactions.
no code implementations • CVPR 2023 • Xuan Xiong, Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao
To the best of our knowledge, this is the first learning-based system for creating a global map prior.
2 code implementations • 17 Jun 2022 • Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao
To the best of our knowledge, VectorMapNet is the first work designed towards end-to-end vectorized map learning from onboard observations.
Ranked #1 on HD semantic map learning on nuScenes