Junxuan Zhao

According to our database, Junxuan Zhao authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A decoding-based method for fast background filtering of roadside LiDAR data.

Junxuan Zhao, Hao Xu, Zhihui Chen, Hongchao Liu

Adv. Eng. Informatics, August, 2023

A Novel Background Filtering Method With Automatic Parameter Adjustment for Real-Time Roadside-LiDAR Sensing System.

Zhihui Chen, Hao Xu, Junxuan Zhao, Hongchao Liu

IEEE Trans. Instrum. Meas., 2023

Deep Learning-Based Framework for Traffic Estimation for the MLK Smart Corridor in Downtown Chattanooga, TN.

Yasir Hassan, Junxuan Zhao, Austin Harris, Mina Sartipi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques.

Junxuan Zhao, Hao Xu, Yuan Tian, Hongchao Liu

J. Intell. Transp. Syst., 2022

Automatic Identification of Anomalous Driving Events from Trajectory Data.

Junxuan Zhao, Mina Sartipi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation.

Toan V. Tran, Seyedmehdi Khaleghian, Junxuan Zhao, Mina Sartipi

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions.

Jianqing Wu, Hao Xu, Jianying Zheng, Junxuan Zhao

IEEE Intell. Transp. Syst. Mag., 2021

2020

An automatic lane identification method for the roadside light detection and ranging sensor.

Jianqing Wu, Hao Xu, Yuan Tian, Yongsheng Zhang, Junxuan Zhao, Bin Lv

J. Intell. Transp. Syst., 2020

Automatic Lane Identification Using the Roadside LiDAR Sensors.

Jianqing Wu, Hao Xu, Junxuan Zhao

IEEE Intell. Transp. Syst. Mag., 2020

2019

Automatic Vehicle Tracking With Roadside LiDAR Data for the Connected-Vehicles System.

Yuepeng Cui, Hao Xu, Jianqing Wu, Yuan Sun, Junxuan Zhao

IEEE Intell. Syst., 2019

Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data.

Junxuan Zhao, Yinfeng Li, Hao Xu, Hongchao Liu

IEEE Access, 2019

Azimuth-Height Background Filtering Method for Roadside LiDAR Data.

Junxuan Zhao, Hao Xu, Xueting Xia, Hongchao Liu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019