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检索条件"机构=Computing Technology Driving Laboratory"
11 条 记 录,以下是1-10 订阅
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Computational intelligence approach to real-world cooperative vehicle dispatching problem
Computational intelligence approach to real-world cooperativ...
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International IEEE Conference on Intelligent Systems, IS
作者: K. Hirota Kewei Chen Fangyan Dong Department of Computational Intelligence and Systems Science Institute of Technology Yokohama Tokyo Japan Computing Technology Driving Laboratory Kawasaki Japan
The vehicle dispatching problem for cooperative deliveries from multiple depots (VDP/CD/MD) is an important and difficult problem in the transport industries. In order to solve the VDP/CD/MD, A hierarchical multiplex ... 详细信息
来源: 评论
DNet-CNet: a novel cascaded deep network for real-time lane detection and classification
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Journal of Ambient Intelligence and Humanized computing 2023年 第8期14卷 10745-10760页
作者: Zhang, Lu Jiang, Fengling Yang, Jing Kong, Bin Hussain, Amir Gogate, Mandar Dashtipour, Kia Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China Anhui Engineering Laboratory for Intelligent Driving Technology and Application Hefei230088 China Hefei Normal University Hefei230601 China Hefei University Hefei230601 China School of Computing Edinburgh Napier University EdinburghEH10 5DT United Kingdom
Robust understanding of the lane position and type is essential for changing lanes in autonomous vehicles. However, accomplishing this task in real time with high level of precision is not trivial. In this paper, we p... 详细信息
来源: 评论
Parameterized Cost Volume for Stereo Matching
Parameterized Cost Volume for Stereo Matching
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International Conference on Computer Vision (ICCV)
作者: Jiaxi Zeng Chengtang Yao Lidong Yu Yuwei Wu Yunde Jia Beijing Key Laboratory of Intelligent Information Technology School of Computer Science & Technology Beijing Institute of Technology China Autonomous Driving Algorithm Deeproute Guangdong Laboratory of Machine Perception and Intelligent Computing Shenzhen MSU-BIT University China
Stereo matching becomes computationally challenging when dealing with a large disparity range. Prior methods mainly alleviate the computation through dynamic cost volume by focusing on a local disparity space, but it ...
来源: 评论
Sparse Point Guided 3D Lane Detection
Sparse Point Guided 3D Lane Detection
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International Conference on Computer Vision (ICCV)
作者: Chengtang Yao Lidong Yu Yuwei Wu Yunde Jia School of Computer Science & Technology Beijing Key Laboratory of Intelligent Information Technology Beijing Institute of Technology China Autonomous Driving Algorithm DeepRoute Guangdong Laboratory of Machine Perception and Intelligent Computing Shenzhen MSU-BIT University China
3D lane detection usually builds a dense correspondence between the front-view space and the BEV space to estimate lane points in the 3D space. 3D lanes only occupy a small ratio of the dense correspondence, while mos...
来源: 评论
Solving Truck Delivery Problems Using Integrated Evaluation Criteria Based on Neighborhood Degree and Evolutionary Algorithm
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Journal of Advanced Computational Intelligence and Intelligent Informatics 2004年 第3期8卷 336-345页
作者: Dong, Fangyan Chen, Kewei Iyoda, Eduardo Masato Nobuhara, Hajime Hirota, Kaoru Department of Computational Intelligence and Systems Science Tokyo Institute of Technology G3-49 4259 Nagatsuta Midori-ku Yokohama226-8502 Japan Computing Technology Driving Laboratory Fujimi 1-6-14-605 Kawasaki-ku Kawasaki210-0011 Japan
To solve a real-world truck delivery and dispatch problem (TDDP) that involves multiple mutually conflicting objectives, such as running and loading costs, a concept of neighborhood degree (ND) and an integrated evalu... 详细信息
来源: 评论
RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing
RoW-based Parallel Control for Mixed Traffic Scenario: A Cas...
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International Conference on Intelligent Transportation
作者: Jingru Yu Yi Yu Shengyue Yao Ding Wang Pinlong Cai Honghai Li Li Li Fei-Yue Wang Yilun Lin Shanghai Artificial Intelligence Laboratory Urban Computing Shanghai China Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group Department of Automation Tsinghua University Beijing China Macau Institute of Systems Engineering Macau University of Science and Technology Macau China Institute of Automation Chinese Academy of Sciences Beijing China
To address the challenge of developing effective control methods for governing the entire driving process of both connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) in mixed traffic scenario, thi...
来源: 评论
TransWorldNG: Traffic Simulation via Foundation Model
TransWorldNG: Traffic Simulation via Foundation Model
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International Conference on Intelligent Transportation
作者: Ding Wang Xuhong Wang Liang Chen Shengyue Yao Ming Jing Honghai Li Shiqiang Bao Li Li Fei-Yue Wang Yilun Lin Urban Computing Lab Shanghai Artificial Intelligence Laboratory Shanghai China 51 WORLD Shanghai China Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group Department of Automation Tsinghua University Beijing China Institute of Automation Chinese Academy of Sciences Beijing China Macau Institute of Systems Engineering Macau University of Science and Technology Macau China
Traffic simulation is a crucial tool for transportation decision-making and policy development. However, achieving realistic simulations in the face of the high dimensionality and heterogeneity of traffic environments...
来源: 评论
TransWorldNG: Traffic Simulation via Foundation Model
arXiv
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arXiv 2023年
作者: Wang, Ding Wang, Xuhong Chen, Liang Yao, Shengyue Jing, Ming Li, Honghai Li, Li Bao, Shiqiang Wang, Fei-Yue Lin, Yilun Urban Computing Lab Shanghai Artificial Intelligence Laboratory Shanghai China 51 World Shanghai China Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group China Department of Automation Tsinghua University Beijing China Institute of Automation Chinese Academy of Sciences Beijing China Macau Institute of Systems Engineering Macau University of Science and Technology China
Traffic simulation is a crucial tool for transportation decision-making and policy development. However, achieving realistic simulations in the face of the high dimensionality and heterogeneity of traffic environments... 详细信息
来源: 评论
Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization
arXiv
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arXiv 2023年
作者: Yao, Shengyue Yu, Jingru Yu, Yi Xu, Jia Dai, Xingyuan Li, Honghai Wang, Fei-Yue Lin, Yilun Urban Computing Shanghai AI Lab Shanghai China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group The Institute of Automation Chinese Academy of Sciences Beijing China The Macau Institute of Systems Engineering Macau University of Science and Technology China
With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods b... 详细信息
来源: 评论
Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization
Towards Integrated Traffic Control with Operating Decentrali...
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International Conference on Intelligent Transportation
作者: Shengyue Yao Jingru Yu Yi Yu Jia Xu Xingyuan Dai Honghai Li Fei-Yue Wang Yilun Lin Urban Computing Shanghai AI Lab Shanghai China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Research and Development Center of Transport Industry of Autonomous Driving Technology RIOH High and Technology Group Institute of Automation Chinese Academy of Sciences Beijing China Macau Institute of Systems Engineering Macau University of Science and Technology Macau China
With a growing complexity of the intelligent traffic system (ITS), an integrated control of ITS that is capable of considering plentiful heterogeneous intelligent agents is desired. However, existing control methods b...
来源: 评论