Concepedia

Sparse Visual Odometry

Sparse Visual Odometry is a variant of visual odometry that estimates camera motion by tracking and utilizing a sparse set of salient feature points across image frames, distinguishing itself from dense approaches by operating on a computationally efficient, non-dense subset of the visual input.

58

Publications

6.3K

Citations

194

Authors

81

Institutions

Publications per year

2017–2026

36

Parents

Publications

58

Direct Sparse Odometry

Jakob Engel, Vladlen Koltun, Daniel Cremers · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 2.9K citations

, , +16

Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras

Rui Wang, Martin Schwörer, Daniel Cremers · 2017 · 378 citations

, , +16

LDSO: Direct Sparse Odometry with Loop Closure

Xiang Gao, Rui Wang, Nikolaus Demmel et al. · 2018 · 314 citations

, , +17

Direct Sparse Visual-Inertial Odometry Using Dynamic Marginalization

2018 · 226 citations · Full text

, , +17

FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry

Chunran Zheng, Qingyan Zhu, Wei Xu et al. · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2022 · 199 citations

, , +17

1–5 of 58

Authors

194

  1. DC
    Daniel Cremers

    Technical University of Munich, Germany

    6 publications · 3.7K citations

    6

    h-index

  2. RW
    Rui Wang

    Technical University of Munich, Germany

    3 publications · 440 citations

    3

    h-index

  3. MS
    Martin Schwörer

    Technical University of Munich, Germany

    2 publications · 423 citations

    2

    h-index

  4. SS
    Sanjiv Singh

    Carnegie Mellon University, United States

    2 publications · 203 citations

    2

    h-index

  5. YS
    Young-Sik Shin

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 214 citations

    2

    h-index

1–5 of 194

Institutions

81

  1. Technical University of Munich

    Munich, Germany

    7 h-index

    22 publications

    9.5K citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    8 publications

    658 citations

  3. University of Technology Sydney

    Sydney, Australia

    3 h-index

    4 publications

    136 citations

  4. Intel (United States)

    Santa Clara, United States

    2 h-index

    2 publications

    3K citations

  5. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    2 h-index

    6 publications

    642 citations

  6. Graz University of Technology

    Graz, Austria

    2 h-index

    6 publications

    162 citations

  7. University of Hong Kong

    Pok Fu Lam, Hong Kong

    2 h-index

    7 publications

    1.2K citations

  8. Zhejiang University

    Hangzhou, China

    2 h-index

    5 publications

    145 citations

1–8 of 81

Venues

  1. IEEE Robotics and Automation Letters

    5 publications · 291 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 127 citations

    3

    h-index

  3. IEEE Sensors Journal

    2 publications · 62 citations

    2

    h-index

  4. Autonomous Robots

    2 publications · 113 citations

    2

    h-index

  5. 1

    h-index

1–5