The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research

doi:10.1109/TITS.2018.2857566

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research
	Li, Xuan 1,2; Wang, Kunfeng2,3 ; Tian, Yonglin2,4 ; Yan, Lan2,5 ; Deng, Fang 1; Wang, Fei-Yue2,6
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2019-06-01
卷号	20 期号:6 页码:2072-2084
通讯作者	Wang, Kunfeng(kunfeng.wang@ia.ac.cn)
摘要	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.
关键词	Traffic vision complex environments parallel vision artificial scenes ParallelEye virtual dataset
DOI	10.1109/TITS.2018.2857566
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000470039700008
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	人工智能+交通
引用统计	被引频次：53[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/24401
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Kunfeng
作者单位	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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 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.