Pose Estimation Transformations

Pose Estimation Transformations is a coordinate transformation method that specifically maps observed sensor data to a reference coordinate system by estimating the position and orientation of an object or sensor, distinguished from other transformations by its focus on determining six-degree-of-freedom rigid-body poses in 3D space.

4

Publications

110

Citations

12

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

12

  1. LL
    Lizhou Liao

    Chongqing University, China

    1 publications · 15 citations

    1

    h-index

  2. EE
    Eyrún Eyjólfsdóttir

    California Institute of Technology, United States

    1 publications · 11 citations

    1

    h-index

  3. JL
    Jia Liu

    Nanjing University, China

    1 publications · 21 citations

    1

    h-index

  4. MT
    Matthew Turk

    Columbia University, United States

    1 publications · 11 citations

    1

    h-index

  5. CF
    Chunyun Fu

    Chongqing University, China

    1 publications · 15 citations

    1

    h-index

1–5 of 12

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 1 publications · 21 citations

    1

    h-index

  2. Cognitive Systems Research

    1 publications · 63 citations

    1

    h-index

  3. 1

    h-index

1–3