Search Results for author: Jirui Yuan

Found 9 papers, 8 papers with code

RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception

1 code implementation CVPR 2024 Ruiyang Hao, Siqi Fan, Yingru Dai, Zhenlin Zhang, Chenxi Li, Yuntian Wang, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie

The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years.

3D Object Detection 3D Object Tracking +1

QUEST: Query Stream for Practical Cooperative Perception

1 code implementation3 Aug 2023 Siqi Fan, Haibao Yu, Wenxian Yang, Jirui Yuan, Zaiqing Nie

In this paper, we propose the concept of query cooperation to enable interpretable instance-level flexible feature interaction.

3D Object Detection

V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting

1 code implementation CVPR 2023 Haibao Yu, Wenxian Yang, Hongzhi Ruan, Zhenwei Yang, Yingjuan Tang, Xu Gao, Xin Hao, Yifeng Shi, Yifeng Pan, Ning Sun, Juan Song, Jirui Yuan, Ping Luo, Zaiqing Nie

Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety in autonomous driving.

Autonomous Driving Decision Making +1

Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

1 code implementation19 Mar 2023 Haibao Yu, Yingjuan Tang, Enze Xie, Jilei Mao, Jirui Yuan, Ping Luo, Zaiqing Nie

Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities.

3D Object Detection Autonomous Driving +1

LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR

1 code implementation27 Feb 2023 Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang

In this paper, we propose a novel Eikonal formulation that conditions the implicit representation on localized shape priors which function as dense boundary value constraints, and demonstrate it works on SemanticKITTI and SemanticPOSS.

Autonomous Driving Representation Learning

Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework

no code implementations17 Oct 2022 Lin Ma, Longrui Chen, Yan Zhang, Mengdi Chu, Wenjie Jiang, Jiahao Shen, Chuxuan Li, Yifeng Shi, Nairui Luo, Jirui Yuan, Guyue Zhou, Jiangtao Gong

To this end, the proposed simulation method and framework can be used to access different autonomous driving algorithms and evaluate pedestrians' safety performance in future autonomous driving simulations, which can inspire more pedestrian-friendly autonomous driving algorithms.

Autonomous Driving

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