CASIA OpenIR
Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges
Xing, Yang1,2; Lv, Chen1; Wang, Huaji3; Wang, Hong4; Ai, Yunfeng5; Cao, Dongpu4; Velenis, Efstathios6; Wang, Fei-Yue7
Source PublicationIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN0018-9545
2019-05-01
Volume68Issue:5Pages:4377-4390
Corresponding AuthorWang, Hong(hong.wang@uwaterloo.ca) ; Cao, Dongpu(dongpu.cao@uwaterloo.ca)
AbstractIntelligent 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.
KeywordIntelligent vehicle ADAS lane change driver intention parallel driving
DOI10.1109/TVT.2019.2903299
WOS KeywordBAYESIAN NETWORKS ; COMPUTER VISION ; ASSISTANCE ; RECOGNITION ; PREDICTION ; BEHAVIOR ; MODEL ; MOVEMENT ; CONTEXT ; SYSTEM
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; Beijing Municipal Science & Technology Commission ; Young Elite Scientist Sponsorship Program by CAST ; Nanyang Technological University, Singapore
WOS Research AreaEngineering ; Telecommunications ; Transportation
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS IDWOS:000470017500026
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24411
Collection中国科学院自动化研究所
Corresponding AuthorWang, Hong; Cao, Dongpu
Affiliation1.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
Recommended Citation
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.
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