no code implementations • 22 Apr 2024 • Lei He, Leheng Li, Wenchao Sun, Zeyu Han, Yichen Liu, Sifa Zheng, Jianqiang Wang, Keqiang Li
To the best of our knowledge, this is the first survey specifically focused on the applications of NeRF in the Autonomous Driving domain.
1 code implementation • 19 Mar 2024 • Wenjun Zou, Yao Lyu, Jie Li, Yujie Yang, Shengbo Eben Li, Jingliang Duan, Xianyuan Zhan, Jingjing Liu, Yaqin Zhang, Keqiang Li
Safe reinforcement learning (RL) offers advanced solutions to constrained optimal control problems.
1 code implementation • NeurIPS 2023 • Qihang Fang, Yafei Song, Keqiang Li, Liefeng Bo
The key is a rendering method that is only based on the density field.
1 code implementation • 14 Dec 2023 • Yingrui Wu, Mingyang Zhao, Keqiang Li, Weize Quan, Tianqi Yu, Jianfeng Yang, Xiaohong Jia, Dong-Ming Yan
This work presents an accurate and robust method for estimating normals from point clouds.
no code implementations • 6 Nov 2023 • Xujie Song, Tong Liu, Shengbo Eben Li, Jingliang Duan, Wenxuan Wang, Keqiang Li
This paper proposes an Ising learning algorithm to train quantized neural network (QNN), by incorporating two essential techinques, namely binary representation of topological network and order reduction of loss function.
no code implementations • 18 Sep 2023 • Jie Li, Jiawei Wang, Shengbo Eben Li, Keqiang Li
Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances.
no code implementations • 5 Sep 2023 • Ji-An Pan, Qing Xu, Keqiang Li, Chunying Yang, Jianqiang Wang
This article is devoted to addressing the cloud control of connected vehicles, specifically focusing on analyzing the effect of bi-directional communication-induced delays.
no code implementations • 4 Sep 2023 • Shuai Li, Haotian Zheng, Jiawei Wang, Chaoyi Chen, Qing Xu, Jianqiang Wang, Keqiang Li
In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly focuses on "looking ahead" (i. e., the CAVs receive information from preceding vehicles) strategies for CAVs, while recent work reveals that "looking behind" (i. e., the CAVs receive information from their rear vehicles) strategies might provide more possibilities for CAV longitudinal control.
no code implementations • 7 Jun 2023 • Zeyu Han, Jiahao Wang, Zikun Xu, Shuocheng Yang, Lei He, Shaobing Xu, Jianqiang Wang, Keqiang Li
In an effort to bridge this gap and stimulate future research, this paper presents an exhaustive survey on the utilization of 4D mmWave radar in autonomous driving.
1 code implementation • 10 Apr 2023 • Qihang Fang, Yafei Song, Keqiang Li, Li Shen, Huaiyu Wu, Gang Xiong, Liefeng Bo
From this insight, given a reconstructed density field and observation images, we design a closed-form method to approximate the color field with low-frequency spherical harmonics, and compute the inverse mean residual color.
1 code implementation • 24 Oct 2022 • Jiawei Wang, Yingzhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones
This algorithm achieves both computation and communication efficiency, as well as trajectory data privacy, through parallel calculation.
no code implementations • 19 Oct 2022 • Yang Guan, Liye Tang, Chuanxiao Li, Shengbo Eben Li, Yangang Ren, Junqing Wei, Bo Zhang, Keqiang Li
Self-evolution is indispensable to realize full autonomous driving.
1 code implementation • 23 Jul 2022 • Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen, Fei-Yue Wang, Gang Xiong
We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds.
Ranked #4 on Surface Normals Estimation on PCPNet
1 code implementation • 7 Apr 2022 • Jiawei Wang, Yang Zheng, Jianghong Dong, Chaoyi Chen, Mengchi Cai, Keqiang Li, Qing Xu
In this paper, we present the first experimental results of data-driven predictive control for connected and autonomous vehicles (CAVs) in dissipating traffic waves.
1 code implementation • 20 Mar 2022 • Jiawei Wang, Yang Zheng, Keqiang Li, Qing Xu
For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies.
no code implementations • 1 Dec 2021 • Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li
Formation control methods of connected and automated vehicles have been proposed to smoothly switch the structure of vehicular formations in different scenarios.
no code implementations • 25 Oct 2021 • Chunying Yang, Jianghong Dong, Qing Xu, Mengchi Cai, Hongmao Qin, Jianqiang Wang, Keqiang Li
To confirm effectiveness of this method, a prototype system is developed, which consists of sand table testbed, its twin system and cloud.
no code implementations • 24 Oct 2021 • Yangang Ren, Jianhua Jiang, Dongjie Yu, Shengbo Eben Li, Jingliang Duan, Chen Chen, Keqiang Li
This paper develops the dynamic permutation state representation in the framework of integrated decision and control (IDC) to handle signalized intersections with mixed traffic flows.
no code implementations • 19 Oct 2021 • Jiawei Wang, Yang Zheng, Qing Xu, Keqiang Li
In this paper, instead of relying on a parametric car-following model, we introduce a data-driven predictive control strategy to achieve safe and optimal control for CAVs in mixed traffic.
3 code implementations • 25 Aug 2021 • Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Xiangbin Wu
Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency.
4 code implementations • 18 Mar 2021 • Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang Wang, Qianying Zhu
Multi-vehicle coordinated decision making and control can improve traffic efficiency while guaranteeing driving safety.
1 code implementation • 8 Dec 2020 • Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li
Most existing strategies for CAVs' longitudinal control focus on downstream traffic conditions, but neglect the impact of CAVs' behaviors on upstream traffic flow.
no code implementations • 8 Sep 2020 • Keqiang Li, Jiawei Wang, Yang Zheng
In mixed traffic flow consisting of AVs and human-driven vehicles (HDVs), the prevailing platooning of multiple AVs is not the only choice for cooperative formation.
1 code implementation • 23 Jul 2020 • Jiawei Wang, Yang Zheng, Chaoyi Chen, Qing Xu, Keqiang Li
Numerical studies confirm the potential of LCC to strengthen the capability of CAVs in suppressing traffic instabilities and smoothing traffic flow.
Systems and Control Systems and Control Optimization and Control
no code implementations • 17 Jul 2020 • Xiaolong Liu, Yuqing Hou, Anbang Yao, Yurong Chen, Keqiang Li
Given the insight that pixels belonging to one instance have one or more common attributes of current instance, we bring up an one-stage instance segmentation network named Common Attribute Support Network (CASNet), which realizes instance segmentation by predicting and clustering common attributes.
no code implementations • 3 Mar 2017 • Y ang Zheng, Shengbo Eben Li, Keqiang Li, Francesco Borrelli
This paper presents a distributed model predictive control (DMPC) algorithm for heterogeneous vehicle platoons with unidirectional topologies and a p r i o r i unknown desired set point.
1 code implementation • 1 Dec 2016 • Xi Xiong, Jianqiang Wang, Fang Zhang, Keqiang Li
Combining deep reinforcement learning and safety based control can get good performance for self-driving and collision avoidance.
Robotics