Guofa Li
Cited by
Cited by
Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities
G Li, SE Li, B Cheng, P Green
Transportation Research Part C: Emerging Technologies 74, 113-125, 2017
An infrared and visible image fusion method based on multi-scale transformation and norm optimization
G Li, Y Lin, X Qu
Information Fusion 71, 109-129, 2021
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios
G Li, Y Yang, T Zhang, X Qu, D Cao, B Cheng, K Li
Transportation Research Part C: Emerging Technologies 122, 102820, 2021
Deep Learning Approaches on Pedestrian Detection in Hazy Weather
G Li, Y Yang, X Qu
IEEE Transactions on Industrial Electronics 67 (10), 8889-8899, 2020
A deep learning based image enhancement approach for autonomous driving at night
G Li, Y Yang, X Qu, D Cao, K Li
Knowledge-Based Systems 213, 106617, 2021
Influence of traffic congestion on driver behavior in post-congestion driving
G Li, W Lai, X Sui, X Li, X Qu, T Zhang, Y Li
Accident Analysis & Prevention 141, 105508, 2020
Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness
G Li, Y Yang, S Li, X Qu, N Lyu, SE Li
Transportation research part C: emerging technologies 134, 103452, 2022
Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles
SE Li, G Li, J Yu, C Liu, B Cheng, J Wang, K Li
Mechanical Systems and Signal Processing 98, 173-189, 2018
Drivers’ visual scanning behavior at signalized and unsignalized intersections: A naturalistic driving study in China
G Li, Y Wang, F Zhu, X Sui, N Wang, X Qu, P Green
Journal of safety research 71, 219-229, 2019
Detection of driver cognitive distraction: A comparison study of stop-controlled intersection and speed-limited highway
Y Liao, SE Li, W Wang, Y Wang, G Li, B Cheng
IEEE Transactions on Intelligent Transportation Systems 17 (6), 1628-1637, 2016
A temporal–spatial deep learning approach for driver distraction detection based on EEG signals
G Li, W Yan, S Li, X Qu, W Chu, D Cao
IEEE Transactions on Automation Science and Engineering 19 (4), 2665-2677, 2021
Cross-domain object detection for autonomous driving: A stepwise domain adaptative YOLO approach
G Li, Z Ji, X Qu, R Zhou, D Cao
IEEE Transactions on Intelligent Vehicles 7 (3), 603-615, 2022
Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression
G Li, S Eben Li, B Cheng
International Journal of Automotive Technology 16 (5), 739-750, 2015
Deep reinforcement learning enabled decision-making for autonomous driving at intersections
G Li, S Li, S Li, Y Qin, D Cao, X Qu, B Cheng
Automotive Innovation 3 (4), 374-385, 2020
Deep learning approaches on defect detection in high resolution aerial images of insulators
Q Wen, Z Luo, R Chen, Y Yang, G Li
Sensors 21 (4), 1033, 2021
Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts
J Duan, R Li, L Hou, W Wang, G Li, SE Li, B Cheng, H Gao
Accident Analysis & Prevention 108, 74-82, 2017
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles: Emotions Triggered by Video-audio Clips in Driving Scenarios
W Li, Y Cui, Y Ma, X Chen, G Li, G Zeng, G Guo, D Cao
IEEE Transactions on Affective Computing, 1-1, 2021
Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations
G Li, SE Li, R Zou, Y Liao, B Cheng
Mechanical Systems and Signal Processing 132, 535-545, 2019
Extraction of descriptive driving patterns from driving data using unsupervised algorithms
G Li, Y Chen, D Cao, X Qu, B Cheng, K Li
Mechanical Systems and Signal Processing 156, 107589, 2021
Decision Tree‐Based Maneuver Prediction for Driver Rear‐End Risk‐Avoidance Behaviors in Cut‐In Scenarios
M Hu, Y Liao, W Wang, G Li, B Cheng, F Chen
Journal of advanced transportation 2017 (1), 7170358, 2017
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