Posts by Collection

portfolio

SAE Autodrive Challenge II year 2 - 5

Graduate Teaching Assistant (GTA) for SAE Autodrive Challenge II.

The Railroad Crossing Vehicle Warning (RCVW) system

Real-world deployment of a V2X safety warning system. Validated low-latency communication between crossings and cars at active Highway-Rail Grade Crossings.

Integration of Unmanned Aerial Systems Data Collection Into Day-to-Day Usage for Transportation Infrastructure – A Phase III Project

Processed and analyzed large-scale drone imagery for transportation infrastructure assessment. Established data pipelines for training deep learning traffic models.

Microscopic Traffic Safety Analysis and macro-level transportation analysis

Performed multi-scale traffic analysis, combining microscopic safety metrics with macroscopic transportation trends.

From OSM to VISUM: Automated Infrastructure Generation for Transport Planning

Developed an automated Python toolchain to convert OpenStreetMap (OSM) data into VISUM networks, streamlining macroscopic transport planning and demand modeling.

From OSM to VISSIM: Automating Large-Scale Traffic Network Modeling

Engineered a pipeline to generate high-fidelity VISSIM road networks from OSM data, enabling rapid setup of large-scale microscopic traffic simulations.

Project: Research on Construction and Site Testing Technology of Closed Test Environment for Auto-driving Electric Vehicles

Developed and validated CAN bus communication for Electric Autonomous Vehicle.

Project: QLTD Intelligent and Connected Expressway Testbase construction

Autonomous control and V2X development for AV platoon.

Project: Key technologies for driverless commercial vehicle control systems

Designed robust motion control systems for Internal Combustion Engine (ICE) commercial platforms.

publications

Constrained optimization and distributed model predictive control-based merging strategies for adjacent connected autonomous vehicle platoons

Published in IEEE Access, vol. 7, 2019

H. Min, Y. Yang, Y. Fang, P. Sun and X. Zhao, “Constrained Optimization and Distributed Model Predictive Control-Based Merging Strategies for Adjacent Connected Autonomous Vehicle Platoons,” in IEEE Access, vol. 7, pp. 163085-163096, 2019, doi: 10.1109/ACCESS.2019.2952049.

talks

Presentation: Research on Automatic Emergency Line Change Control Strategy Based on MPC

Published: June 16, 2019

Test

Abstract:
In this work, we showcase the performance of a Model Predictive Controller (MPC) in lane change scenario.
Methods:
We estibasilshed the vehicle dynamic model and conducted simulation.
Results: Simulation.

Real car testing was conducted.

Presentation: Deep Deterministic Policy Gradient based Cooperative Platoon Logitudinal Control Strategy

Published: January 21, 2021

Note: This work was reviewed and recommended for presentation at the TRB Annual Meeting 2021 by the TRB committee, not presented due to COVID-19

Presentation: Aggressive Autonomous Control on Snow and Ice

Published: April 09, 2025

Test

Abstract:
In this work, we showcase the performance of a Model Predictive Path Integral (MPPI) Controller in adverse weather conditions with our 1：5 testing platform: CODMAX
Methods:
We applied the MPPI controller used in AutoRally, tested the car on three diferent surfaces (dirt, snow, ice) to explore how much performance degradation due to lower friction.
Results:
The table below shows the test results.
Download:
The paper can be found here. The slides can be downloaded here

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015