Junxuan Zhao

Orcid: 0000-0001-9927-7023

According to our database1, Junxuan Zhao authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Accurate detection of vehicle, pedestrian, cyclist and wheelchair from roadside light detection and ranging sensors.
J. Intell. Transp. Syst., November, 2024

2023
A decoding-based method for fast background filtering of roadside LiDAR data.
Adv. Eng. Informatics, August, 2023

A Novel Background Filtering Method With Automatic Parameter Adjustment for Real-Time Roadside-LiDAR Sensing System.
IEEE Trans. Instrum. Meas., 2023

Deep Learning-Based Framework for Traffic Estimation for the MLK Smart Corridor in Downtown Chattanooga, TN.
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.
J. Intell. Transp. Syst., 2022

Automatic Identification of Anomalous Driving Events from Trajectory Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions.
IEEE Intell. Transp. Syst. Mag., 2021

2020
An automatic lane identification method for the roadside light detection and ranging sensor.
J. Intell. Transp. Syst., 2020

Automatic Lane Identification Using the Roadside LiDAR Sensors.
IEEE Intell. Transp. Syst. Mag., 2020

2019
Automatic Vehicle Tracking With Roadside LiDAR Data for the Connected-Vehicles System.
IEEE Intell. Syst., 2019

Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data.
IEEE Access, 2019

Azimuth-Height Background Filtering Method for Roadside LiDAR Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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