2 code implementations • 6 Dec 2023 • Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Huilin Xu, Pinlong Cai, Li Chen, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Chunjing Xu, Tiancai Wang, Fei Xia, Beipeng Mu, Zhihui Peng, Dahua Lin, Yu Qiao
With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fostering the robust evolution of the industry ecosystem.
no code implementations • 12 Aug 2023 • Guirong Zhuo, Shouyi Lu, Huanyu Zhou, Lianqing Zheng, Lu Xiong
We demonstrate the excellent performance of our method and the effectiveness of each module design on both the VoD and in-house datasets.
no code implementations • 12 Jun 2023 • Yining Ma, Wei Jiang, Lingtong Zhang, Junyi Chen, Hong Wang, Chen Lv, Xuesong Wang, Lu Xiong
Current testing scenarios typically employ predefined or scripted BVs, which inadequately reflect the complexity of human-like social behaviors in real-world driving scenarios, and also lack a systematic metric for evaluating the comprehensive intelligence of AVs.
2 code implementations • 22 Mar 2023 • Hansheng Chen, Wei Tian, Pichao Wang, Fan Wang, Lu Xiong, Hao Li
In this paper, we propose the EPro-PnP, a probabilistic PnP layer for general end-to-end pose estimation, which outputs a distribution of pose with differentiable probability density on the SE(3) manifold.
Ranked #4 on 6D Pose Estimation using RGB on LineMOD
no code implementations • 17 Oct 2022 • Xingyu Xing, Tong Jia, Junyi Chen, Lu Xiong, Zhuoping Yu
The autonomous vehicle (AV) is a safety-critical system relying on complex sensors and algorithms.
1 code implementation • CVPR 2022 • Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li
The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution.
Ranked #6 on 6D Pose Estimation using RGB on LineMOD
no code implementations • 27 Nov 2021 • Jiafeng Cui, Tengfei Huang, Yingfeng Cai, Junqiao Zhao, Lu Xiong, Zhuoping Yu
LiDAR-based place recognition is an essential and challenging task both in loop closure detection and global relocalization.
1 code implementation • CVPR 2021 • Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, Lu Xiong
To regress the pixel-related 3D object coordinates, we employ a regional reconstruction network with uncertainty awareness.
Ranked #17 on Monocular 3D Object Detection on KITTI Cars Moderate
1 code implementation • 4 Mar 2020 • Jianfeng Li, Junqiao Zhao, Tiantian Feng, Chen Ye, Lu Xiong
In this paper, we proposed an unsupervised learning method for estimating the optical flow between video frames, especially to solve the occlusion problem.