Proximity based automatic data annotation for autonomous driving

doi:10.1109/JAS.2020.1003033

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Proximity based automatic data annotation for autonomous driving
	Sun, Chen 4; Vianney, Jean M. Uwabeza 4; Li, Ying 1; Chen, Long 5; Li, Li 3; Wang, Fei-Yue 2; Khajepour, Amir 4; Cao, Dongpu 4
刊名	IEEE-CAA JOURNAL OF AUTOMATICA SINICA
	2020-03-01
卷号	7 期号:2 页码:395-404
关键词	Affordance learning autonomous vehicles data synchronization scene understanding
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003033
通讯作者	Cao, Dongpu(dongpu.cao@uwaterloo.ca)
英文摘要	The recent development in autonomous driving involves high-level computer vision and detailed road scene understanding. Today, most autonomous vehicles employ expensive high quality sensor-set such as light detection and ranging (LIDAR) and HD maps with high level annotations. In this paper, we propose a scalable and affordable data collection and annotation framework, image-to-map annotation proximity (I2MAP), for affordance learning in autonomous driving applications. We provide a new driving dataset using our proposed framework for driving scene affordance learning by calibrating the data samples with available tags from online database such as open street map (OSM). Our benchmark consists of 40 000 images with more than 40 affordance labels under various day time and weather even with very challenging heavy snow. We implemented sample advanced driver-assistance systems (ADAS) functions by training our data with neural networks (NN) and cross-validate the results on benchmarks like KITTI and BDD100K, which indicate the effectiveness of our framework and training models.
WOS关键词	INTEGRATION ; MODEL
WOS研究方向	Automation & Control Systems
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000519596200007
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/38910]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Cao, Dongpu
作者单位	1.Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Waytous Inc, Qingdao 266109, Peoples R China 4.Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada 5.Sun Yat Sen Univ, Sch Data & Comp Sci, Zhuhai 519082, Peoples R China
推荐引用方式 GB/T 7714	Sun, Chen,Vianney, Jean M. Uwabeza,Li, Ying,et al. Proximity based automatic data annotation for autonomous driving[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2020,7(2):395-404.
APA	Sun, Chen.,Vianney, Jean M. Uwabeza.,Li, Ying.,Chen, Long.,Li, Li.,...&Cao, Dongpu.(2020).Proximity based automatic data annotation for autonomous driving.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,7(2),395-404.
MLA	Sun, Chen,et al."Proximity based automatic data annotation for autonomous driving".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 7.2(2020):395-404.