Publications (Google Scholar)
Conference Papers
26. Hengcong Guo, DeAndre San Agustin, Venkata Seetha Ram Mohan, Shujauddin Rahimi, Steve Rundus, Jeffrey Wishart, and Junfeng Zhao, “Real-Time Driving Assessment in Simulation Based on SAE J3237”, IEEE Intelligent Vehicles Symposium (IV), 2026
25. Pranav Ramesh Bidare, Nithish Kumar Saravanan, Jingxiong Meng, and Junfeng Zhao, “Optimizing Perception Capabilities of Autonomous Vehicles Through V2I Late Fusion using Kalman Filter”, 2025 Modeling, Estimation and Control Conference, 2025
24. Haoran Ding, and Junfeng Zhao, “LLM-Driven Simulation Pipeline for Safety-Critical Scenario Evaluation in Autonomous Vehicles”, 2025 Modeling, Estimation and Control Conference, 2025
23. Hengcong Guo, and Junfeng Zhao, “Enhancing Autonomous Driving Policy Stability through Auxiliary Network in Reinforcement Learning from Human Feedback”, 2025 American Control Conference (ACC), 2025
22. Rohan Khaire, Hengcong Guo, Harsh Gangwar, Nithish Kumar Saravanan, Jeffrey Wishart, and Junfeng Zhao, “Augmented Reality-Enhanced Digital Twin for Automated Vehicle Testing”, 12th IFAC Symposium on Intelligent Autonomous Vehicles, 2025
21. Haoran Ding, Nithish Kumar Saravanan, Hengcong Guo, Nathan Fahner, Bidare, Pranav Ramesh Bidare, Jeffrey Wishart, and Junfeng Zhao, “Upgrading an Automated Vehicle Research Platform for Enhanced Perception and Distributed Computing”, 12th IFAC Symposium on Intelligent Autonomous Vehicles, 2025
20. Sunder Swaminathan, Jeffrey Wishart, Junfeng Zhao, Brendan Russo, and Shujauddin Rahimi, “Adapting the Technology Readiness Level (TRL) Framework to AV Development”, SAE Technical Paper, 2025
19. Jeffrey Wishart, Shujauddin Rahimi, Sunder Swaminathan, Junfeng Zhao, Matt Frantz, Satvir Singh, and Steven Gerard Como, “Dynamic Driving Task Assessment Scores for Scenarios Navigated by an OEM ADS-Equipped Vehicle”, SAE Technical Paper, 2025
18. Jingxiong Meng, Yan Chen, Junfeng Zhao, “Starlink for Localization: A Low Earth Orbit Satellites Based Approach for Vehicle Localization”, 2024 Modeling, Estimation, and Control Conference, Oct. 2024.
17. Shun-Yen Wang, Jingxiong Meng, Jeffrey Wishart, Junfeng Zhao, “Simultaneous Localization and Mapping with Road Markings Identified from LiDAR Intensity”, 2024 Modeling, Estimation, and Control Conference, Oct. 2024.
16. Hengcong Guo, Jiangtao Li, Nithish Kumar Saravanan, Jeffrey Wishart, Junfeng Zhao, “Developing an Automated Vehicle Research Platform by Integrating Autoware with the DataSpeed Drive-By-Wire System”, SAE Technical Paper, 2024
15. Jingxiong Meng, Yan Chen, and Junfeng Zhao, “Development and Evaluation of a LEO Satellite-Based Vehicle Localization Method”, SAE Technical Paper, 2024
14. Gavin O’Malley, Jeffrey Wishart, Junfeng Zhao, and Brendan Russo, “A Scenario-Based Test Selection and Scoring Methodology for Inclusion into a Safety Case Framework for Automated Vehicles”, SAE Technical Paper, 2024
13. Jeffrey Wishart, Junfeng Zhao, Braeden Woodward, Gavin O’Malley, Hengcong Guo, Shujauddin Rahimi, and Sunder Swaminathan, “A Proposed Safety Case Framework for Automated Vehicles with Pillars of Safety Management System, Design Methods, and Scenario-Based Testing”, IEEE International Automated Vehicle Validation Conference, 2023
12. Jingxiong Meng, Junfeng Zhao, and Yan Chen, ” Reinforcement Learning Enabled Safety Critical Tracking of Automated Vehicles with Uncertainties via Integrated Control-Dependent, Time-Varying Barrier Function, and Control Lyapunov Function”, IFAC-PapersOnLine, 56, 85–90, 2023
11. Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Ragunathan Rajkumar, and Chen-Fang Chang, “MultiCruise: Eco-Lane Selection Strategy with Eco-Cruise Control for Connected and Automated Vehicles”, IEEE Intelligent Vehicles Symposium, 2021
10. Junfeng Zhao*, Chen-Fang Chang, Ragunathan Rajkumar, and Jeffrey Gonder, “Corroborative Evaluation of the Real-World Energy Saving Potentials of InfoRich Eco-Autonomous Driving (iREAD) System”, SAE technical paper, 2020-01-0588, 2020.
9. Lung En Jan, Junfeng Zhao, Shunsuke Aoki, Anand Bhat, Chen-Fang Chang, and Ragunathan Rajkumar, “Speed Trajectory Generation for Energy-Efficient Connected and Automated Vehicles”, at 2020 ASME Dynamic Systems and Control Conference, Pittsburg, PA, 2020
8. Shunsuke Aoki, Lung En Jan, Anand Bhat, Junfeng Zhao, Ragunathan Rajkumar, and Chen-Fang Chang, “A Co-simulation Platform for Eco-driving Connected and Automated Vehicles”, at 2020 IEEE Intelligent Vehicles Symposium, Las Vegas, NV, 2020
7. Junfeng Zhao*, Hai Wu, and Chen-Fang Chang, “Virtual Traffic Simulator for Connected and Automated Vehicles”, SAE technical paper, 2019-01-0676, 2019.
6. Junfeng Zhao*, Yiran Hu, Steve Muldoon, and Chen-Fang Chang, “InfoRich Eco-Driving Control Strategy for Connected and Automated Vehicles”, at 2019 American Control Conference, Philadelphia, PA, 2019
5. Junfeng Zhao, and Junmin Wang, “Model Predictive Control of Integrated Hybrid Electric Powertrains Coupled with Aftertreatment Systems”, at 2014 ASME Dynamic Systems and Control Conference, San Antonio, TX, 2014.
4. Junfeng Zhao, and Junmin Wang, “Mass Airflow Sensor Fault Detection via an Adaptive Oxygen Fraction Observer,” at 2014 American Control Conference, Portland, OR, 2014.
3. Junfeng Zhao, and Junmin Wang, “Observer-Based Oxygen Fraction Estimation for a Dual-Loop EGR Diesel Engine Fueled with Biodiesel Blends,” at 2013 ASME Dynamic Systems and Control Conference, San Francisco, CA, 2013.
2. Junfeng Zhao, and Junmin Wang, “On-Board Fuel Property Identification Method Based on Common Rail Pressure Signal,” at 2012 ASME Dynamic Systems and Control Conference, Ft. Lauderdale, FL, 2012.
1. Junfeng Zhao, and Junmin Wang, “Energy-based and Oxygen-based Biodiesel Blend Level Estimation Methods for Diesel Engines,” at 2012 American Control Conference, Montreal, Canada, 2012.