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 |
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 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 |
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 |
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 | 48 | 2019 |
Probabilistic prediction of pedestrian crossing intention using roadside LiDAR data J Zhao, Y Li, H Xu, H Liu IEEE Access 7, 93781-93790, 2019 | 39 | 2019 |
Azimuth-Height background filtering method for roadside LiDAR data J Zhao, H Xu, X Xia, H Liu 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2421-2426, 2019 | 22 | 2019 |
An artificial neural network to identify pedestrians and vehicles from roadside 360-degree LiDAR data J Zhao, H Xu, D Wu, H Liu Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 21 | 2018 |
Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques J Zhao, H Xu, Y Tian, H Liu Journal of Intelligent Transportation Systems 26 (2), 213-234, 2022 | 15 | 2022 |
An automatic lane identification method for the roadside light detection and ranging sensor J Wu, H Xu, Y Tian, Y Zhang, J Zhao, B Lv Journal of Intelligent Transportation Systems 24 (5), 467-479, 2020 | 15 | 2020 |
Exploring the fundamentals of using infrastructure-based LiDAR sensors to develop connected intersections J Zhao Texas Tech University, 2019 | 10 | 2019 |
High-resolution micro traffic data from roadside LiDAR sensors for connected-vehicles and new traffic applications H Xu, Z Tian, J Wu, H Liu, J Zhao University of Nevada, Reno. Solaris University Transportation Center, 2018 | 10 | 2018 |
An unsupervised clustering method for processing roadside LiDAR data with improved computational efficiency Y Zhang, N Bhattarai, J Zhao, H Liu, H Xu IEEE Sensors Journal 22 (11), 10684-10691, 2022 | 9 | 2022 |
Autonomous wildlife crossing detection method with roadside lidar sensors J Wu, H Xu, J Zhao, N Simpson Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 9 | 2018 |
The assessment of damage to Texas highways due to oversize and overweight loads considering climatic factors D Wu, J Zhao, H Liu, C Yuan International Journal of Pavement Engineering 20 (7), 853-865, 2019 | 8 | 2019 |
Fast-spherical-projection-based point cloud clustering algorithm Z Chen, H Xu, J Zhao, H Liu Transportation research record 2676 (6), 315-329, 2022 | 6 | 2022 |
Automatic identification of vehicle partial occlusion in data collected by roadside LiDAR sensors J Zhao, H Xu, Y Zhang, V Shankar, H Liu Transportation research record 2676 (5), 708-718, 2022 | 6 | 2022 |
Traffic volume detection using infrastructure-based LiDAR under different levels of service conditions J Zhao, H Xu, Y Zhang, Y Tian, H Liu Journal of Transportation Engineering, Part A: Systems 147 (11), 04021080, 2021 | 6 | 2021 |
A Novel Background Filtering Method with Automatic Parameter Adjustment for Real-Time Roadside LiDAR Sensing System Z Chen, H Xu, J Zhao, H Liu IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
Detection Range Analysis of Roadside LiDAR Sensor J Zhao, H Xu, J Wu, C Lin, H Liu Transportation Research Board 98th Annual Meeting Transportation Research Board, 2019 | 5 | 2019 |