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Junxuan Zhao
Junxuan Zhao
Verified email at kennesaw.edu - Homepage
Title
Cited by
Cited by
Year
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
3192019
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
972019
Automatic lane identification using the roadside LiDAR sensors
J Wu, H Xu, J Zhao
IEEE Intelligent Transportation Systems Magazine 12 (1), 25-34, 2018
692018
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
522020
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
482019
Probabilistic prediction of pedestrian crossing intention using roadside LiDAR data
J Zhao, Y Li, H Xu, H Liu
IEEE Access 7, 93781-93790, 2019
392019
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
222019
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
212018
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
152022
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
152020
Exploring the fundamentals of using infrastructure-based LiDAR sensors to develop connected intersections
J Zhao
Texas Tech University, 2019
102019
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
102018
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
92022
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
92018
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
82019
Fast-spherical-projection-based point cloud clustering algorithm
Z Chen, H Xu, J Zhao, H Liu
Transportation research record 2676 (6), 315-329, 2022
62022
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
62022
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
62021
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
52023
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
52019
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Articles 1–20