PENGFEI
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Pengfei Lin (林 鵬飛)

I am currently a JSPS Postdoctoral Fellow at Tsukada Lab, The University of Tokyo, where I work with Prof. Manabu Tsukada, researching autonomous vehicles, motion planning, optimization control, etc. Before that, I obtained my Ph.D. at the Dept. of Creative Informatics, Graduate School of Information Science and Technology, The University of Tokyo from 2021.04 to 2024.03. I did my M.S. at the Dept. of Electrical Engineering, Hanyang University from 2018.09 to 2021.02. I finished my B.S. at the School of Automation, Northwestern Polytechnical University from 2014.09 to 2018.06.

Email: linpengfei0609[at]gmail.com

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News

  • 03/2024, one paper has been accepted by IEEE T-VT!
  • 12/2023, one paper has been accepted by IEEE Access!
  • 10/2023, one paper has been accepted by Chinese Journal of LCD!
  • 10/2023, one paper has been accepted by MDPI Electronics!
  • 09/2023, one paper has been accepted by IEEE WFIoT 2023!
  • 07/2023, one paper has been accepted by IEEE IECON 2023!
  • 07/2023, one paper has been accepted by IEEE ITSC 2023!
  • 03/2023, one paper has been accepted by IEEE IV 2023!
  • 12/2022, one paper has been accepted by IEEE T-ITS Journal!
  • 11/2022, I am glad to be an invited speaker for IEEE WF-IOT 2022!
  • 10/2022, one paper has been accepted by IEEE CCNC 2023!
  • 09/2022, I'm glad to be selected as a Research Fellow for Young Scientists by 日本学術振興会(JSPS)!
  • 05/2022, I'm glad to be selected as an awarded scholar from China Scholarship Council (CSC)!
  • Research Projects

  • V2V-based Cooperative Planning for Autonomous Vehicles
  • This research proposal seeks to develop a cooperative driving system using multiple simulation platforms and the V2X technique. It incorporates safe-critical motion planning to assess collision risks and a unique virtual scene construction for validating and providing feedback to the decision layer.

  • Deep Learning-based Open EV Platform Technology for Autonomous Driving
  • This research project is to develop an open EV platform for Level 3 autonomous navigation based on sensing, control interface specifications, protocols, and in-depth learning AI-based decision-making, control algorithms, and diffusion and verification service technologies using it.

  • Compound Omnidirectional Mobile Platform Based on Mecanum Wheel
  • This research project aims to develop an omnidirectional composite mobile platform, learning the mechanical structure of the Mecanum Wheel, improve the stability of the mobile platform under different loads and improve the adaptability of the platform to complex terrain.

    Publications

    I'm interested in developing planning algorithms for autonomous vehicles via model predictive control, potential function, clothoidal curve, etc.

    Conference Papers:

    1. Keep Calm and Cross: Smart Pole Interaction Unit for Easing Pedestrian Cognitive Load
      V. Chauhan, C.-M. Chang, E. Javanmardi, J. Nakazato, K. Toda, Pengfei Lin, T. Igarashi, M. Tsukada,
      IEEE World Forum on Internet of Things (IEEE WFIoT) 2023 | paper | Aveiro, Portugal

    2. Potential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles
      Pengfei Lin, E. Javanmardi, J. Nakazato, and M. Tsukada
      Annual Conference of the IEEE Industrial Electronics Society (IECON) 2023 | paper | Marina Bay Sands Expo and Convention Centre, Singapore

    3. Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety
      Pengfei Lin, E. Javanmardi, J. Nakazato, and M. Tsukada
      IEEE International Conference on Intelligent Transportation Systems (ITSC) 2023 | paper | Bilbao, Spain

    4. Time-To-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles
      Pengfei Lin, E. Javanmardi, Y. Tao, V. Chauhan, J. Nakazato, and M. Tsukada
      IEEE Intelligent Vehicles (IV) Symposium 2023 | paper | Alaska, USA

    5. zk-PoT: Zero-Knowledge Proof of Traffic for Privacy Enabled Cooperative Perception
      Y. Tao, Y. Jiang, Pengfei Lin, M. Tsukada, and H. Esaki
      IEEE Consumer Communications & Networking Conference (CCNC) 2023 | paper | Las Vegas, USA

    6. Adaptive Potential Field with Collision Avoidance for Connected Autonomous Vehicles
      Pengfei Lin, and M. Tsukada
      IEEE Asian Control Conference (ASCC) 2022 | paper | Jeju Island, Korea

    7. Cooperative Path Planning Using Responsibility-Sensitive Safety (RSS)-based Potential Field with Sigmoid Curve
      Pengfei Lin, and M. Tsukada
      IEEE Vehicular Technology Conference (VTC) 2022 | paper | Helsinki, Finland

    8. Model Predictive Path-Planning Controller with Potential Function for Emergency Collision Avoidance
      Pengfei Lin, and M. Tsukada
      IEEE International Conference on Robotics and Automation (ICRA) 2022 | In Proceeding for Publication | Philadelphia (PA), USA

    9. Local Path Planning Using Artificial Potential Field for Waypoint Tracking with Collision Avoidance
      Pengfei Lin, W. Y. Choi, and C. C. Chung
      IEEE International Conference on Intelligent Transportation Systems (ITSC) 2020 | paper | Rhodes, Greece

    10. Waypoint Tracking for Collision Avoidance Using Artificial Potential Field
      Pengfei Lin, W. Y. Choi, J. H. Yang, and C. C. Chung
      Chinese Control Conference (CCC) 2020 | paper | Shenyang, China

    11. Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change
      Pengfei Lin, W. Y. Choi, S. H. Lee, and C. C. Chung
      International Conference on Control, Automation and Systems (ICCAS) 2020 | paper (Student Best Paper Award Finalists) | Busan, Korea

    12. Path-Planning for Intelligent Vehicles Based on Virtual Potential Function under Multi-obstacles
      Pengfei Lin, S. H. Lee, and C. C. Chung
      IEEE International Conference on Control Automation (CACS) 2020 | paper | Hsinchu, Republic of China

    13. Intelligent Vehicle for Collision Avoidance Using Artificial Potential Field with Speed Variation
      Pengfei Lin, W. Y. Choi, and C. C. Chung
      Korean Society of Automotive Engineers (KSAE) 2020 | paper (Best Paper Award) | Samcheok, Korea

    14. Autonomous Lane Change System for Intelligent Vehicle Based on Model Curve Fitting
      Pengfei Lin, W. Y. Choi, and C. C. Chung
      Korean Society of Automotive Engineers (KSAE) 2020 | paper | Jeju Island, Korea

    15. Autonomous Driving Using Artificial Potential Function for Vehicle Collision Avoidance
      Pengfei Lin, J. H. Yang, W. Y. Choi, and C. C. Chung
      Institute of Control, Robotics and Systems (ICROS) 2020 | paper | Sokcho, Korea

    Journal Papers:

    1. Model Predictive Path-Planning Controller with Potential Function for Emergency Collision Avoidance on Highway Driving
      Pengfei Lin, and M. Tsukada
      IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 Option | paper (Regular Paper)

    2. Potential Field-based Path Planning for Emergency Collision Avoidance with a Clothoid Curve in Waypoint Tracking
      Pengfei Lin, J. H. Yang, Y. S. Quan, and C. C. Chung
      Asian Journal of Control (AJC) | paper (Special Issue ) | Top Downloaded Article

    3. Safety Tunnel-Based Model Predictive Path-Planning Controller with Potential Functions for Emergency Navigation
      Pengfei Lin, Y. S. Quan, J. H. Yang, C. C. Chung, and M. Tsukada
      IEEE Transactions on Intelligent Transportation Systems (T-ITS) | paper (Regular Paper)

    4. Clothoid Curve-based Emergency-Stopping Path Planning with Adaptive Potential Field for Autonomous Vehicles
      Pengfei Lin, E. Javanmardi, and M. Tsukada
      IEEE Transactions on Vehicular Technology (T-VT) | paper (Regular Paper)

    5. Fostering Fuzzy Logic in Enhancing Pedestrian Safety: Harnessing Smart Pole Interaction Unit for Autonomous Vehicle-to-Pedestrian Communication and Decision Optimization
      V. Chauhan, C. M. Chang, E. Javanmardi, J. Nakazato, Pengfei Lin, T. Igarashi, and M. Tsukada
      MDPI Electronics | paper (Regular Paper)

    6. Zero-Knowledge Proof of Traffic: A Deterministic and Privacy-Preserving Cross Verification Mechanism for Cooperative Perception Data
      Y. Tao, E. Javanmardi, Pengfei Lin, Y. Jiang, J. Nakazato, M. Tsukada, and H. Esaki
      IEEE Access | paper | Regular Paper

    7. HDR Image Processing Algorithm for Portrait Based on Multi-feature Fusion
      C. Wu, Y. Zhang, Z. Lin, T. Guo, Pengfei Lin, and J. Lin
      Chinese Journal of Liquid Crystals and Displays | In Proceeding for Publication | Regular Paper

    Services

  • Invited Speaker for IEEE 8th World Forum on Internet of Things.

  • IEEE Student Member.

  • Invited Reviewer of IEEE Robotics and Automation Letters (RA-L).

  • Contributed Reviewer of IEEE ITSC 2020.

  • Invited Reviewer of CCC 2020.

  • Local Sub-Session Host Assistant of IEEE CDC 2020.

  • Awards and Projects

  • 2024.04-2025.03, JSPS PD Research Fellowship for Young Scientists

  • 2023.04-2025.03, JSPS DC2 Research Fellowship for Young Scientists

  • 2022.09-2024.03, Awarded Scholar by China Scholarship Council (CSC)

  • 2022.04-2024.03, Tier IV Student Researcher Program

  • 2022.04-2023.03, IST Research Assistant

  • 2021.10-2024.03, SPRING GX Fellowship

  • 2021.04-2022.03, Tsukada Lab Research Assistant

  • 2018.09-2020.06, Science and Engineering Foreign Scholarship

  • 2016.06-2017.05, National Innovation Training Program for Colleges "Excellent Award"

  • 2015.09-2016.06, Academy Scholarship from the School of Automation, Northwestern Polytechnical University

  • 2014.09-2015.06, Academy Scholarship from the School of Materials, Northwestern Polytechnical University

  • Languages

  • Chinese (Native)

  • Hokkien (Native)

  • English (IELTS: 6.5)

  • Korean (TOPIK: Level 4)

  • Japanese (JLPT: N4)

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