Hao Xu
Orcid: 0000-0003-1314-4540Affiliations:
- 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 35 papers
between 2007 and 2024.
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Bibliography
2024
Deep learning-based pedestrian trajectory prediction and risk assessment at signalized intersections using trajectory data captured through roadside LiDAR.
J. Intell. Transp. Syst., November, 2024
Accurate detection of vehicle, pedestrian, cyclist and wheelchair from roadside light detection and ranging sensors.
J. Intell. Transp. Syst., November, 2024
IEEE Trans. Intell. Transp. Syst., July, 2024
Spatiotemporal BEV Pyramid Networks for Future Instance Prediction of Autonomous Driving.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024
2023
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
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
IEEE Trans. Intell. Transp. Syst., 2020
An automatic lane identification method for the roadside light detection and ranging sensor.
J. Intell. Transp. Syst., 2020
IEEE Intell. Transp. Syst. Mag., 2020
2019
Int. J. Sens. Networks, 2019
Automatic Vehicle Tracking With Roadside LiDAR Data for the Connected-Vehicles System.
IEEE Intell. Syst., 2019
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
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
Architecture of Vehicle Trajectories Extraction With Roadside LiDAR Serving Connected Vehicles.
IEEE Access, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
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
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
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007