Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

doi:10.1109/TVT.2019.2903299

	Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges
	Xing, Yang 1,2; Lv, Chen 1; Wang, Huaji 3; Wang, Hong 4; Ai, Yunfeng 5; Cao, Dongpu 4; Velenis, Efstathios 6; Wang, Fei-Yue7
刊名	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
	2019-05-01
卷号	68 期号:5 页码:4377-4390
关键词	Intelligent vehicle ADAS lane change driver intention parallel driving
ISSN号	0018-9545
DOI	10.1109/TVT.2019.2903299
通讯作者	Wang, Hong(hong.wang@uwaterloo.ca) ; Cao, Dongpu(dongpu.cao@uwaterloo.ca)
英文摘要	Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context, as well as the driver status since ADAS share the vehicle control authorities with the human driver. This paper provides an overview of the ego-vehicle driver intention inference (DII), which mainly focuses on the lane change intention on highways. First, a human intention mechanism is discussed in the beginning to gain an overall understanding of the driver intention. Next, the ego-vehicle driver intention is classified into different categories based on various criteria. A complete DII system can be separated into different modules, which consist of traffic context awareness, driver states monitoring, and the vehicle dynamic measurement module. The relationship between these modules and the corresponding impacts on the DII are analyzed. Then, the lane change intention inference system is reviewed from the perspective of input signals, algorithms, and evaluation. Finally, future concerns and emerging trends in this area are highlighted.
资助项目	National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[91720000] ; Beijing Municipal Science & Technology Commission[Z181100008918007] ; Young Elite Scientist Sponsorship Program by CAST[2017QNRC001] ; Nanyang Technological University, Singapore[M4082268.050]
WOS关键词	BAYESIAN NETWORKS ; COMPUTER VISION ; ASSISTANCE ; RECOGNITION ; PREDICTION ; BEHAVIOR ; MODEL ; MOVEMENT ; CONTEXT ; SYSTEM
WOS研究方向	Engineering ; Telecommunications ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000470017500026
资助机构	National Natural Science Foundation of China ; Beijing Municipal Science & Technology Commission ; Young Elite Scientist Sponsorship Program by CAST ; Nanyang Technological University, Singapore
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/24410]
专题	中国科学院自动化研究所
通讯作者	Wang, Hong; Cao, Dongpu
作者单位	1.Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore 2.Vehicle Intelligence Pioneers Ltd, Qingdao 26600, Shandong, Peoples R China 3.AVL Powertrain UK Ltd, Coventry CV4 7EZ, W Midlands, England 4.Univ Waterloo, Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Cranfield Univ, Adv Vehicle Engn Ctr, Cranfield MK43 0AL, Beds, England 7.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Xing, Yang,Lv, Chen,Wang, Huaji,et al. Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2019,68(5):4377-4390.
APA	Xing, Yang.,Lv, Chen.,Wang, Huaji.,Wang, Hong.,Ai, Yunfeng.,...&Wang, Fei-Yue.(2019).Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,68(5),4377-4390.
MLA	Xing, Yang,et al."Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 68.5(2019):4377-4390.