Pengfei Lin

JSPS Research Fellow

Email: linpengfei0609@g.ecc.u-tokyo.ac.jp

Dr. Pengfei Lin is currently working as a Japan Society for the Promotion of Science (JSPS) Research Fellow in Tsukada Lab, Graduate School of Information Science and Technology (IST), The University of Tokyo. Lin completed his Ph.D. in Creative Informatics from the Graduate School of IST, The University of Tokyo, in April 2024. Prior to this, he received a Master of Science in Electrical Engineering from the School of Engineering, Hanyang University (HYU) in 2021 and a Bachelor of Science from the Northwestern Polytechnical University (NPU) in 2018. His research interests include path planning, collision avoidance, and model predictive control for autonomous vehicles. Beyond these, he also encompasses a wide range of topics within this discipline, and he is particularly drawn to the following areas: Cooperative Driving, Motion Planning, Optimization Control, Behavioral Planning, etc.

Publications (17)

Int'l conferenceA Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving

Hanlin Wu, Pengfei Lin, Ehsan Javanmardi, Naren Bao, Bo Qian, Hao Si, Manabu Tsukada — IEEE International Conference on Robotics & Automation (ICRA 2026), Vienna, Austria, 2026

PosterRobust Vehicle Localization Based on Adaptive DOA Estimation and UKF under Varying Interference Conditions

Dou Hu, Pengfei Lin, Manabu Tsukada — IEEE Consumer Communications & Networking Conference (CCNC2026), Poster, 2026

JournaleRSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Emergency Driving

Pengfei Lin, Ehsan Javanmardi, Yuze Jiang, Dou Hu, Shangkai Zhang, Manabu Tsukada — IEEE Transactions on Vehicular Technology, 2025

Int'l conferenceA Rule-Compliance Path Planner for Lane-Merge Scenarios Based on Responsibility-Sensitive Safety

Pengfei Lin, Ehsan Javanmardi, Yuze Jiang, Manabu Tsukada — 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dubai, UAE, 2024

JournalClothoid Curve-based Emergency Stopping Path-Planning with Adaptive Potential Field for Autonomous Vehicles

Pengfei Lin, Ehsan Javanmardi, Manabu Tsukada — IEEE Transactions on Vehicular Technology, 2024

ThesisEmergency-Aware Path Planning for Non-connected and Connected Autonomous Vehicles

Pengfei Lin — Ph.D Thesis, The University of Tokyo, 2024

JournalZero-Knowledge Proof of Traffic: A Deterministic and Privacy-Preserving Cross Verification Mechanism for Cooperative Perception Data

Ye Tao, Ehsan Javanmardi, Pengfei Lin, Yuze Jiang, Jin Nakazato, Manabu Tsukada, Hiroshi Esaki — IEEE Access, 2023

Int'l conferencePotential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles

Pengfei Lin, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada — 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), 2023

Int'l conferenceKeep Calm and Cross: Smart Pole Interaction Unit for Easing Pedestrian Cognitive Load

Vishal Chauhan, Chia-Ming Chang, Ehsan Javanmardi, Jin Nakazato, Koki Toda, Pengfei Lin, Takeo Igarashi, Manabu Tsukada — The 9th IEEE World Forum on Internet of Things (IEEE WFIoT2023), Aveiro, Portugal, 2023

JournalFostering Fuzzy Logic in Enhancing Pedestrian Safety: Harnessing Smart Pole Interaction Unit for Autonomous Vehicle-to-Pedestrian Communication and Decision Optimization

Vishal Chauhan, Chia-Ming Chang, Ehsan Javanmardi, Jin Nakazato, Pengfei Lin, Takeo Igarashi, Manabu Tsukada — Electronics, 2023

Int'l conferenceOcclusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety

Pengfei Lin, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada — The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), 2023

Int'l conferenceTime-To-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles

Pengfei Lin, Ehsan Javanmardi, Ye Tao, Vishal Chauhan, Jin Nakazato, Manabu Tsukada — 2023 IEEE Intelligent Vehicles Symposium (IEEE IV 2023), Anchorage, Alaska, USA, 2023

JournalSafety Tunnel-Based Model Predictive Path-Planning Controller with Potential Functions for Emergency Navigation

Pengfei Lin, Ying Shuai Quan, Jin Ho Yang, Chung Choo Chung, Manabu Tsukada — IEEE Transactions on Intelligent Transportation Systems, 2023

Int'l conferencezk-PoT: Zero-Knowledge Proof of Traffic for Privacy Enabled Cooperative Perception

Ye Tao, Yuze Jiang, Pengfei Lin, Manabu Tsukada, Hiroshi Esaki — 2023 IEEE 20th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2023

Int'l conferenceCooperative Path Planning Using Responsibility-Sensitive Safety (RSS)-based Potential Field with Sigmoid Curve

Pengfei Lin, Manabu Tsukada — The 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring), Helsinki, Finland, 2022

Int'l conferenceAdaptive Potential Field with Collision Avoidance for Connected Autonomous Vehicles

Pengfei Lin, Manabu Tsukada — 13th Asian Control Conference (ASCC) 2022, Jeju, Korea, 2022

JournalModel Predictive Path-Planning Controller with Potential Function for Emergency Collision Avoidance on Highway Driving

Pengfei Lin, Manabu Tsukada — Robotics and Automation Letters (RA-L) with IEEE International Conference on Robotics and Automation (ICRA) option, 2022