| 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 | 319 | 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 | 129 | 2018 |
| Roadside magnetic sensor system for vehicle detection in urban environments Q Wang, J Zheng, H Xu, B Xu, R Chen IEEE Transactions on Intelligent Transportation Systems 19 (5), 1365-1374, 2017 | 110 | 2017 |
| 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 | 101 | 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 | 97 | 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 | 83 | 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 | 83 | 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 | 76 | 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 | 75 | 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 | 71 | 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 | 69 | 2018 |
| Truck acceleration behavior study and acceleration lane length recommendations for metered on-ramps G Yang, H Xu, Z Wang, Z Tian International Journal of Transportation Science and Technology 5 (2), 93-102, 2016 | 67 | 2016 |
| Vehicle detection and tracking in complex traffic circumstances with roadside LiDAR Z Zhang, J Zheng, H Xu, X Wang Transportation research record 2673 (9), 62-71, 2019 | 65 | 2019 |
| LiDAR-Enhanced Connected Infrastructures Sensing and Broadcasting High-Resolution Traffic Information Serving Smart Cities B Lv, H Xu, J Wu, Y Tian, Y Zhang, Y Zheng, C Yuan, S Tian IEEE Access 7, 79895-79907, 2019 | 64 | 2019 |
| Development and application of an enhanced Kalman filter and global positioning system error-correction approach for improved map-matching H Xu, H Liu, CW Tan, Y Bao Journal of Intelligent Transportation Systems 14 (1), 27-36, 2010 | 57 | 2010 |
| Analysis of elderly people's travel behaviours during the morning peak hours in the context of the free bus programme in Beijing, China Y Zhang, E Yao, R Zhang, H Xu Journal of Transport Geography 76, 191-199, 2019 | 56 | 2019 |
| Automatic background construction and object detection based on roadside LiDAR Z Zhang, J Zheng, H Xu, X Wang, X Fan, R Chen IEEE Transactions on Intelligent Transportation Systems 21 (10), 4086-4097, 2019 | 54 | 2019 |
| 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 | 52 | 2020 |
| Deer crossing road detection with roadside LiDAR sensor J Chen, H Xu, J Wu, R Yue, C Yuan, L Wang IEEE Access 7, 65944-65954, 2019 | 51 | 2019 |
| Vehicle detection under adverse weather from roadside LiDAR data J Wu, H Xu, Y Tian, R Pi, R Yue Sensors 20 (12), 3433, 2020 | 49 | 2020 |
Zong TianUniversity of Nevada, RenoVerified email at unr.edu
