CASIA OpenIR
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
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN1524-9050
2019-06-01
Volume20Issue:6Pages:2072-2084
Corresponding AuthorWang, Kunfeng(kunfeng.wang@ia.ac.cn)
AbstractDataset 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.
KeywordTraffic vision complex environments parallel vision artificial scenes ParallelEye virtual dataset
DOI10.1109/TITS.2018.2857566
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000470039700008
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24401
Collection中国科学院自动化研究所
Corresponding AuthorWang, Kunfeng
Affiliation1.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 AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese 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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