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Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey 期刊论文
Authors:  Chen, Long;  Lin, Shaobo;  Lu, Xiankai;  Cao, Dongpu;  Wu, Hangbin;  Guo, Chi;  Liu, Chun;  Wang, Fei-Yue
Favorite  |  View/Download:12/0  |  Submit date:2021/08/15
Deep neural networks  autonomous driving  vehicle detection  pedestrian detection  survey  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
Authors:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
View  |  Adobe PDF(14998Kb)  |  Favorite  |  View/Download:26/0  |  Submit date:2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Investigating the dynamic memory effect of human drivers via ON-LSTM 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 11
Authors:  Dai, Shengzhe;  Li, Zhiheng;  Li, Li;  Cao, Dongpu;  Dai, Xingyuan;  Lin, Yilun
Favorite  |  View/Download:27/0  |  Submit date:2020/12/04
driving behavior  memory effect  trajectory prediction  historical information  ON-LSTM  
Simulation and field testing of multiple vehicles collision avoidance algorithms 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 1045-1063
Authors:  Zu, Chaoyue;  Yang, Chao;  Wang, Jian;  Gao, Wenbin;  Cao, Dongpu;  Wang, Fei-Yue
Favorite  |  View/Download:54/0  |  Submit date:2020/08/03
Collision avoidance  intelligent vehicles  inter-vehicle communication  simulation  testing  trajectory planning  
Proximity based automatic data annotation for autonomous driving 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 395-404
Authors:  Sun, Chen;  Vianney, Jean M. Uwabeza;  Li, Ying;  Chen, Long;  Li, Li;  Wang, Fei-Yue;  Khajepour, Amir;  Cao, Dongpu
Favorite  |  View/Download:56/0  |  Submit date:2020/06/02
Affordance learning  autonomous vehicles  data synchronization  scene understanding  
Learning Driving Models From Parallel End-to-End Driving Data Set 期刊论文
PROCEEDINGS OF THE IEEE, 2020, 卷号: 108, 期号: 2, 页码: 262-273
Authors:  Chen, Long;  Wang, Qing;  Lu, Xiankai;  Cao, Dongpu;  Wang, Fei-Yue
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Data models  Training  Adaptation models  Task analysis  Reinforcement learning  Decision making  Transforms  Data set  end-to-end driving  parallel driving  
Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 2, 页码: 1011-1023
Authors:  Gao, Yu;  Ai, Yunfeng;  Tian, Bin;  Chen, Long;  Wang, Jian;  Cao, Dongpu;  Wang, Fei-Yue
Favorite  |  View/Download:55/0  |  Submit date:2020/06/02
Data mining  Transportation  Internet of Things  Mining equipment  Safety  Decision making  Artificial societies (A) for modeling  computational experiments (C) for analysis  and parallel execution (P) for control (ACP) approach  autonomous truck  decision making  Internet of Things (IoT)  management and control  parallel mines  
Guidance control for parallel parking tasks 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 1, 页码: 301-306
Authors:  Tan, Jiyuan;  Xu, Chunling;  Li, Li;  Wang, Fei-Yue;  Cao, Dongpu;  Li, Lingxi
Favorite  |  View/Download:61/0  |  Submit date:2020/03/30
Automatic parking  guidance control  trajectory planning  
End-to-End Autonomous Driving: An Angle Branched Network Approach 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 12, 页码: 11599-11610
Authors:  Wang, Qing;  Chen, Long;  Tian, Bin;  Tian, Wei;  Li, Lingxi;  Cao, Dongpu
Favorite  |  View/Download:54/0  |  Submit date:2020/04/07
End-to-end driving  imitation learning  navigation command  
Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 6, 页码: 5379-5390
Authors:  Xing, Yang;  Lv, Chen;  Wang, Huaji;  Cao, Dongpu;  Velenis, Efstathios;  Wang, Fei-Yue
Favorite  |  View/Download:95/0  |  Submit date:2019/09/30
Driver behavior  driver distraction  convolutional neural network  transfer learning