no code implementations • 3 Jun 2023 • Long Chen, Siyu Teng, Bai Li, Xiaoxiang Na, Yuchen Li, Zixuan Li, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang
Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits.
no code implementations • 12 May 2023 • Long Chen, Yuchen Li, Chao Huang, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang
Our work is divided into 3 independent articles and the first part is a Survey of Surveys (SoS) for total technologies of AD and IVs that involves the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions.
no code implementations • 30 Mar 2023 • Long Chen, Yuchen Li, Chao Huang, Bai Li, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Xiaoxiang Na, Zixuan Li, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits.
no code implementations • CVPR 2022 • Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, YuHang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe XuanYuan, Long Chen
The main contributions of the AutoMine dataset are as follows: 1. The first autonomous driving dataset for perception and localization in mine scenarios.
1 code implementation • 13 Dec 2020 • Lang Su, Chuqing Hu, Guofa Li, Dongpu Cao
Multimodal learning mimics the reasoning process of the human multi-sensory system, which is used to perceive the surrounding world.
Ranked #15 on
Action Recognition
on NTU RGB+D
1 code implementation • 2 Nov 2020 • Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu
3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving.
no code implementations • 7 Sep 2020 • Hong Shu, Teng Liu, Xingyu Mu, Dongpu Cao
Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles.
no code implementations • 26 Jul 2020 • Teng Liu, Yang Xing, Long Chen, Dongpu Cao, Fei-Yue Wang
The objectives of the three virtual digital vehicles are interacting, guiding, simulating and improving with the real vehicles.
no code implementations • 24 Jul 2020 • Teng Liu, Bo wang, Dongpu Cao, Xiaolin Tang, Yalian Yang
As the core of this study, model predictive control and reinforcement learning are combined to improve the powertrain mobility and fuel economy for a group of automated vehicles.
no code implementations • 24 Jul 2020 • Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen, Dongpu Cao
This article proposes a transfer reinforcement learning (RL) based adaptive energy managing approach for a hybrid electric vehicle (HEV) with parallel topology.
no code implementations • 16 Jul 2020 • Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao
The advantages of the proposed framework in convergence rate and control performance are illuminated.
no code implementations • 16 Jul 2020 • Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao
This work optimizes the highway decision making strategy of autonomous vehicles by using deep reinforcement learning (DRL).
no code implementations • 16 Jul 2020 • Teng Liu, Wenhao Tan, Xiaolin Tang, Jinwei Zhang, Yang Xing, Dongpu Cao
This paper focusing on helping the relevant researchers realize the state-of-the-art of HEVs energy management field and also recognize its future development direction.
no code implementations • 16 Jul 2020 • Teng Liu, Bin Tian, Yunfeng Ai, Long Chen, Fei Liu, Dongpu Cao
As a combination of various kinds of technologies, autonomous vehicles could complete a series of driving tasks by itself, such as perception, decision-making, planning, and control.
2 code implementations • 13 Jul 2020 • Guojun Wang, Jian Wu, Bin Tian, Siyu Teng, Long Chen, Dongpu Cao
However, because inherent sparsity of point clouds, 3D object center points are likely to be in empty space which makes it difficult to estimate accurate boundaries.
no code implementations • 20 May 2020 • Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman
In this paper, we provide a systematic review of existing compelling deep learning architectures applied in LiDAR point clouds, detailing for specific tasks in autonomous driving such as segmentation, detection, and classification.
no code implementations • 26 Apr 2020 • Wenbo Li, Yaodong Cui, Yintao Ma, Xingxin Chen, Guofa Li, Gang Guo, Dongpu Cao
In this paper, we introduce a new dataset, the driver emotion facial expression (DEFE) dataset, for driver spontaneous emotions analysis.
no code implementations • 10 Apr 2020 • Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, Dongpu Cao
Autonomous vehicles were experiencing rapid development in the past few years.
no code implementations • 20 Mar 2019 • Chen Sun, Jean M. Uwabeza Vianney, Dongpu Cao
Our results indicate that this method could act as a cheaper way for training data collection in autonomous driving.