Hao Xu

Orcid: 0000-0003-1314-4540

Affiliations:
  • University of Nevada Reno, Department of Civil and Environmental Engineering, NV, USA
  • Texas Tech University, Department of Civil and Environmental Engineering, Lubbock, TX, USA (PhD 2011)


According to our database1, Hao Xu authored at least 31 papers between 2007 and 2023.

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

Timeline

Legend:

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Bibliography

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

Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data.
Sensors, 2023

2022
Leveraging Deep Convolutional Neural Networks Pre-Trained on Autonomous Driving Data for Vehicle Detection From Roadside LiDAR Data.
IEEE Trans. Intell. Transp. Syst., 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

Road Boundary-Enhanced Automatic Background Filtering for Roadside Lidar Sensors.
IEEE Intell. Transp. Syst. Mag., 2022

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

2020
Automatic Background Construction and Object Detection Based on Roadside LiDAR.
IEEE Trans. Intell. Transp. Syst., 2020

Real-Time Queue Length Detection with Roadside LiDAR Data.
Sensors, 2020

Vehicle Detection under Adverse Weather from Roadside LiDAR Data.
Sensors, 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
Data Registration with Ground Points for Roadside LiDAR Sensors.
Remote. Sens., 2019

A portable roadside vehicle detection system based on multi-sensing fusion.
Int. J. Sens. Networks, 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

Tracking Multi-Vehicles With Reference Points Switches at the Intersection Using a Roadside LiDAR Sensor.
IEEE Access, 2019

LiDAR-Enhanced Connected Infrastructures Sensing and Broadcasting High-Resolution Traffic Information Serving Smart Cities.
IEEE Access, 2019

Raster-Based Background Filtering for Roadside LiDAR Data.
IEEE Access, 2019

Automatic Vehicle-Pedestrian Conflict Identification With Trajectories of Road Users Extracted From Roadside LiDAR Sensors Using a Rule-Based Method.
IEEE Access, 2019

An Automatic Trigged Rectangular Rapid Flashing Beacons (RRFB) System Using the Roadside LiDAR Sensor.
IEEE Access, 2019

Deer Crossing Road Detection With Roadside LiDAR Sensor.
IEEE Access, 2019

Architecture of Vehicle Trajectories Extraction With Roadside LiDAR Serving Connected Vehicles.
IEEE Access, 2019

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

A data mapping method for roadside LiDAR sensors.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Roadside Magnetic Sensor System for Vehicle Detection in Urban Environments.
IEEE Trans. Intell. Transp. Syst., 2018

Driver Behavior Fault Analysis on Ramp-related Crashes/Near-Crashes Using SHRP 2 Naturalistic Driving Study Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Automatic background filtering and lane identification with roadside LiDAR data.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Human-driver speed profile modeling for autonomous vehicle's velocity strategy on curvy paths.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2010
Development and Application of an Enhanced Kalman Filter and Global Positioning System Error-Correction Approach for Improved Map-Matching.
J. Intell. Transp. Syst., 2010

2007
A Virtual Differential Map-Matching Algorithm.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007


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