| Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors J Zhao, H Xu, H Liu, J Wu, Y Zheng, D Wu Transportation research part C: emerging technologies 100, 68-87, 2019 | 341 | 2019 |
| A novel method of vehicle-pedestrian near-crash identification with roadside LiDAR data J Wu, H Xu, Y Zheng, Z Tian Accident Analysis & Prevention 121, 238-249, 2018 | 143 | 2018 |
| Automatic background filtering and lane identification with roadside LiDAR data J Wu, H Xu, J Zheng 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 109 | 2017 |
| Automatic vehicle tracking with roadside LiDAR data for the connected-vehicles system Y Cui, H Xu, J Wu, Y Sun, J Zhao IEEE Intelligent Systems 34 (3), 44-51, 2019 | 102 | 2019 |
| Automatic background filtering method for roadside LiDAR data J Wu, H Xu, Y Sun, J Zheng, R Yue Transportation Research Record 2672 (45), 106-114, 2018 | 90 | 2018 |
| Driver behavior analysis for right-turn drivers at signalized intersections using SHRP 2 naturalistic driving study data J Wu, H Xu Journal of safety research 63, 177-185, 2017 | 87 | 2017 |
| Automatic vehicle classification using roadside LiDAR data J Wu, H Xu, Y Zheng, Y Zhang, B Lv, Z Tian Transportation Research Record 2673 (6), 153-164, 2019 | 82 | 2019 |
| 3-D data processing to extract vehicle trajectories from roadside LiDAR data Y Sun, H Xu, J Wu, J Zheng, KM Dietrich Transportation research record 2672 (45), 14-22, 2018 | 81 | 2018 |
| The influence of road familiarity on distracted driving activities and driving operation using naturalistic driving study data J Wu, H Xu Transportation research part F: traffic psychology and behaviour 52, 75-85, 2018 | 79 | 2018 |
| Automatic lane identification using the roadside LiDAR sensors J Wu, H Xu, J Zhao IEEE Intelligent Transportation Systems Magazine 12 (1), 25-34, 2018 | 74 | 2018 |
| Automatic vehicle detection with roadside LiDAR data under rainy and snowy conditions J Wu, H Xu, J Zheng, J Zhao IEEE Intelligent Transportation Systems Magazine 13 (1), 197-209, 2020 | 65 | 2020 |
| An automatic procedure for vehicle tracking with a roadside LiDAR sensor J Wu Institute of Transportation Engineers. ITE Journal 88 (11), 32-37, 2018 | 60 | 2018 |
| Trajectory tracking and prediction of pedestrian's crossing intention using roadside LiDAR J Zhao, H Xu, J Wu, Y Zheng, H Liu IET Intelligent Transport Systems 13 (5), 789-795, 2019 | 52 | 2019 |
| Automatic ground points filtering of roadside LiDAR data using a channel-based filtering algorithm J Wu, Y Tian, H Xu, R Yue, A Wang, X Song Optics & Laser Technology 115, 374-383, 2019 | 48 | 2019 |
| An improved vehicle-pedestrian near-crash identification method with a roadside LiDAR sensor J Wu, H Xu, Y Zhang, R Sun Journal of safety research 73, 211-224, 2020 | 47 | 2020 |
| Road damage detection using UAV images based on multi-level attention mechanism Y Zhang, Z Zuo, X Xu, J Wu, J Zhu, H Zhang, J Wang, Y Tian Automation in construction 144, 104613, 2022 | 46 | 2022 |
| An automatic background filtering method for detection of road users in heavy traffics using roadside 3-D LiDAR sensors with noises Y Zhang, H Xu, J Wu IEEE Sensors Journal 20 (12), 6596-6604, 2020 | 43 | 2020 |
| Properties of silt-based foamed concrete: A type of material for use in backfill behind an abutment H Zhang, X Qi, L Wan, Z Zuo, Z Ge, J Wu, X Song Construction and Building Materials 261, 119966, 2020 | 37 | 2020 |
| The stability and durability of silt-based foamed concrete: A new type of road engineering material J Wu, C Lv, R Pi, H Zhang, Y Bi, X Song, Z Wang Construction and Building Materials 304, 124674, 2021 | 34 | 2021 |
| Points registration for roadside LiDAR sensors J Wu, H Xu, W Liu Transportation research record 2673 (9), 627-639, 2019 | 29 | 2019 |
Hao XuAssociate Professor of Civil Engineering, University of Nevada Reno在 unr.edu 的电子邮件经过验证
