Pose Estimation Uncertainty

Pose Estimation Uncertainty is the quantification of the reliability or confidence associated with the estimated position and orientation of an object or agent in space, distinguished from other uncertainty types by specifically characterizing the potential error in translational and rotational components of pose estimation due to sensor noise, model ambiguity, or environmental factors.

108

Publications

6.2K

Citations

341

Authors

139

Institutions

Publications per year

2017–2026

52

Authors

341

  1. JC
    Jiashan Cui

    Harbin Institute of Technology, China

    3 publications · 49 citations

    3

    h-index

  2. HC
    Howie Choset

    Carnegie Mellon University, United States

    3 publications · 66 citations

    3

    h-index

  3. AH
    Adrian Hilton

    University of Surrey, United Kingdom

    2 publications · 44 citations

    2

    h-index

  4. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    2 publications · 39 citations

    2

    h-index

  5. JH
    Ju Huo

    Harbin Institute of Technology, China

    2 publications · 24 citations

    2

    h-index

1–5 of 341

Venues

  1. IEEE Transactions on Robotics

    4 publications · 450 citations

    4

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 93 citations

    4

    h-index

  3. The International Journal of Robotics Research

    IJRR · 3 publications · 1.6K citations

    3

    h-index

  4. Autonomous Robots

    2 publications · 133 citations

    2

    h-index

  5. Robotics and Autonomous Systems

    2 publications · 57 citations

    2

    h-index

1–5