1 code implementation • NeurIPS 2023 • Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
Learning to represent and simulate the dynamics of physical systems is a crucial yet challenging task.
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.
1 code implementation • 3 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.
Ranked #1 on
3D Object Detection
on V2X-SIM
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.
1 code implementation • 19 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.
1 code implementation • 27 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.
1 code implementation • ICCV 2023 • Zhijie Yan, Pengfei Li, Zheng Fu, Shaocong Xu, Yongliang Shi, Xiaoxue Chen, Yuhang Zheng, Yang Li, Tianyu Liu, Chuxuan Li, Nairui Luo, Xu Gao, Yilun Chen, Zuoxu Wang, Yifeng Shi, Pengfei Huang, Zhengxiao Han, Jirui Yuan, Jiangtao Gong, Guyue Zhou, Hang Zhao, Hao Zhao
One of the most challenging problems in motion forecasting is interactive trajectory prediction, whose goal is to jointly forecasts the future trajectories of interacting agents.
no code implementations • 17 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.
1 code implementation • CVPR 2022 • Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie
Autonomous driving faces great safety challenges for a lack of global perspective and the limitation of long-range perception capabilities.