1 code implementation • 4 May 2024 • Yanan Zhang, Jinqing Zhang, Zengran Wang, Junhao Xu, Di Huang
In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety.
no code implementations • 22 Aug 2022 • Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, Di Huang
Instead of using a sole monocular depth method, in this work, we propose a novel Surround-view Temporal Stereo (STS) technique that leverages the geometry correspondence between frames across time to facilitate accurate depth learning.
2 code implementations • 21 Jun 2022 • Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li
In this research, we propose a new 3D object detector with a trustworthy depth estimation, dubbed BEVDepth, for camera-based Bird's-Eye-View (BEV) 3D object detection.
Ranked #4 on 3D Object Detection on Rope3D