Knowledge Commons of Institute of Automation，CAS
| The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research | |
Li, Xuan1,2; Wang, Kunfeng2,3 ; Tian, Yonglin2,4; Yan, Lan2,5; Deng, Fang1; Wang, Fei-Yue2,6
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| Source Publication | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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| ISSN | 1524-9050 |
| 2019-06-01 | |
| Volume | 20Issue:6Pages:2072-2084 |
| Corresponding Author | Wang, Kunfeng(kunfeng.wang@ia.ac.cn) |
| Abstract | Dataset plays an essential role in the training and testing of traffic vision algorithms. However, the collection and annotation of images from the real world is time-consuming, labor-intensive, and error-prone. Therefore, more and more researchers have begun to explore the virtual dataset, to overcome the disadvantages of real datasets. In this paper, we propose a systematic method to construct large-scale artificial scenes and collect a new virtual dataset (named "ParallelEye") for the traffic vision research. The Unity3D rendering software is used to simulate environmental changes in the artificial scenes and generate ground-truth labels automatically, including semantic/instance segmentation, object bounding boxes, and so on. In addition, we utilize ParallelEye in combination with real datasets to conduct experiments. The experimental results show the inclusion of virtual data helps to enhance the per-class accuracy in object detection and semantic segmentation. Meanwhile, it is also illustrated that the virtual data with controllable imaging conditions can be used to design evaluation experiments flexibly. |
| Keyword | Traffic vision complex environments parallel vision artificial scenes ParallelEye virtual dataset |
| DOI | 10.1109/TITS.2018.2857566 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] |
| Funding Organization | National Natural Science Foundation of China |
| WOS Research Area | Engineering ; Transportation |
| WOS Subject | Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology |
| WOS ID | WOS:000470039700008 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/24401 |
| Collection | 中国科学院自动化研究所 |
| Corresponding Author | Wang, Kunfeng |
| Affiliation | 1.Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266000, Shandong, Peoples R China 4.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China |
| First Author Affilication | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Li, Xuan,Wang, Kunfeng,Tian, Yonglin,et al. The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2019,20(6):2072-2084. |
| APA | Li, Xuan,Wang, Kunfeng,Tian, Yonglin,Yan, Lan,Deng, Fang,&Wang, Fei-Yue.(2019).The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,20(6),2072-2084. |
| MLA | Li, Xuan,et al."The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 20.6(2019):2072-2084. |
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