Vehicle State Estimation

Vehicle State Estimation is a computational framework within the domain of vehicle dynamics that enables the real-time determination of key dynamic states—such as velocity, yaw rate, and roll angle—by fusing sensor measurements with mathematical models to enhance accuracy and reliability in stability control systems.

1.5K

Publications

65.1K

Citations

3.5K

Authors

932

Institutions

Publications per year

2017–2026

559

Authors

3.5K

  1. AK
    Amir Khajepour

    University of Waterloo, Canada

    18 publications · 959 citations

    16

    h-index

  2. AC
    Ali Charara

    Université de Technologie de Compiègne, France

    17 publications · 1K citations

    15

    h-index

  3. LX
    Lu Xiong

    Tongji University, China

    18 publications · 1.3K citations

    15

    h-index

  4. LL
    Liang Li

    Tsinghua University, China

    15 publications · 811 citations

    14

    h-index

  5. ZY
    Zhuoping Yu

    Tongji University, China

    15 publications · 785 citations

    14

    h-index

1–5 of 3.5K

Venues

  1. Vehicle System Dynamics

    80 publications · 6K citations

    42

    h-index

  2. IEEE Transactions on Vehicular Technology

    59 publications · 4K citations

    39

    h-index

  3. 36

    h-index

  4. Sensors

    54 publications · 1.7K citations

    25

    h-index

  5. IEEE Transactions on Control Systems Technology

    30 publications · 2.4K citations

    22

    h-index

1–5