Vehicle Path Planning

Vehicle Path Planning is a computational framework within the kinematics of vehicle motion that determines an optimal, collision-free trajectory for a vehicle from an initial to a target configuration, distinguished by its integration of dynamic constraints, environmental obstacles, and mission objectives.

2.2K

Publications

123.5K

Citations

6K

Authors

1.4K

Institutions

Publications per year

2017–2026

1.1K

Authors

6K

  1. BL
    Bai Li

    Hunan University, China

    22 publications · 1.6K citations

    19

    h-index

  2. MA
    Matthias Althoff

    Technical University of Munich, Germany

    18 publications · 1.2K citations

    17

    h-index

  3. JM
    John M. Dolan

    Carnegie Mellon University, United States

    17 publications · 1.6K citations

    15

    h-index

  4. YZ
    Youmin Zhang

    Concordia University, Canada

    14 publications · 717 citations

    14

    h-index

  5. EF
    Emilio Frazzoli

    Massachusetts Institute of Technology, United States

    16 publications · 4.7K citations

    14

    h-index

1–5 of 6K

Venues

  1. 46

    h-index

  2. IEEE Access

    58 publications · 3.5K citations

    34

    h-index

  3. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 46 publications · 5.7K citations

    31

    h-index

  4. IEEE Robotics and Automation Letters

    32 publications · 2K citations

    26

    h-index

  5. Sensors

    33 publications · 1.2K citations

    25

    h-index

1–5