ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles

doi:10.1109/TVT.2019.2936227

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

	ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles
	Li, Xuan 1,2; Wang, Yutong2,3 ; Yan, Lan2,3 ; Wang, Kunfeng2,4 ; Deng, Fang 1; Wang, Fei-Yue2
发表期刊	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN	0018-9545
	2019-10-01
卷号	68 期号:10 页码:9619-9631
通讯作者	Wang, Kunfeng(kunfengwang@gmail.com)
摘要	Virtual simulation testing is becoming indispensable for the intelligence testing of intelligent vehicles. However, even the most advanced simulation software provides rather limited test conditions. In the long run, intelligent vehicles are expected to work at SAE (Society of Automotive Engineers) level 4 or level 5. Researchers should make full use of virtual simulation scenarios to test the visual intelligence algorithms of intelligent vehicles under various imaging conditions. In this paper, we create realistic artificial scenes to simulate the self-driving scenarios, and collect a dataset of synthetic images from the virtual driving scenes, named ParallelEye-CS. In the artificial scenes, we can flexibly change environmental conditions and automatically acquire accurate and diverse ground-truth labels. As a result, ParallelEye-CS has six ground-truth labels and includes twenty types of tests, which are divided into normal, environmental, and difficult tasks. Furthermore, we utilize ParallelEye-CS in combination with other publicly available datasets to conduct experiments for visual object detection. The experimental results indicate that: 1) object detection algorithms of intelligent vehicles can be tested under various scenario challenges; 2) mixed dataset can improve the accuracy of object detection algorithms, but domain shift is a serious issue worthy of attention.
关键词	Testing Intelligent vehicles Task analysis Object detection Automation Roads Visual perception Intelligent vehicles visual intelligence intelligence testing object detection virtual simulation synthetic images
DOI	10.1109/TVT.2019.2936227
关键词[WOS]	VISION ; LESSONS
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018YFC1704400] ; National Natural Science Foundation of China[U1811463] ; China Scholarship Council ; National Key R&D Program of China[2018YFC1704400] ; National Natural Science Foundation of China[U1811463] ; China Scholarship Council
项目资助者	National Key R&D Program of China ; National Natural Science Foundation of China ; China Scholarship Council
WOS研究方向	Engineering ; Telecommunications ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号	WOS:000501349900024
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：36[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/173211/29418
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, 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, Yutong,Yan, Lan,et al. ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2019,68(10):9619-9631.
APA	Li, Xuan,Wang, Yutong,Yan, Lan,Wang, Kunfeng,Deng, Fang,&Wang, Fei-Yue.(2019).ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,68(10),9619-9631.
MLA	Li, Xuan,et al."ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 68.10(2019):9619-9631.