Search Results for author: Lu Xiong

Found 9 papers, 5 papers with code

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

2 code implementations6 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.

Autonomous Driving

4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion

no code implementations12 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.

Pose Estimation Visual Odometry

Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles

no code implementations12 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.

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

2 code implementations22 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.

3D Object Detection 6D Pose Estimation using RGB +1

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

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.

3D Object Detection 6D Pose Estimation using RGB +1

DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition

no code implementations27 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.

Loop Closure Detection

Occlusion Aware Unsupervised Learning of Optical Flow From Video

1 code implementation4 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.

Optical Flow Estimation

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