| 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 | 236 | 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 | 162 | 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 | 160 | 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 | 158 | 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 | 151 | 2021 |
| 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 | 149 | 2018 |
| 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 | 148 | 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 | 137 | 2022 |
| 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 | 125 | 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 | 120 | 2016 |
| 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 | 78 | 2015 |
| 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 | 74 | 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 | 73 | 2022 |
| 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 | 66 | 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 | 64 | 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 | 64 | 2017 |
| 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 | 57 | 2021 |
| 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 | 55 | 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 | 55 | 2019 |
| Lane change maneuver recognition via vehicle state and driver operation signals—Results from naturalistic driving data G Li, SE Li, Y Liao, W Wang, B Cheng, F Chen 2015 IEEE Intelligent Vehicles Symposium (IV), 865-870, 2015 | 52 | 2015 |
