Map Fusion

Map Fusion is a computational framework that integrates multiple heterogeneous maps into a single coherent representation by aligning and reconciling spatial, semantic, and topological information across differing modalities or sources.

107

Publications

3.8K

Citations

371

Authors

153

Institutions

Publications per year

2017–2026

52

Parents

Authors

371

  1. YY
    Yufeng Yue

    Nanyang Technological University, Singapore

    7 publications · 253 citations

    7

    h-index

  2. DW
    Danwei Wang

    Nanyang Technological University, Singapore

    6 publications · 209 citations

    6

    h-index

  3. CY
    Chule Yang

    Nanyang Technological University, Singapore

    6 publications · 229 citations

    6

    h-index

  4. SS
    Sajad Saeedi

    Imperial College London, United Kingdom

    5 publications · 171 citations

    5

    h-index

  5. MW
    Mingxing Wen

    Nanyang Technological University, Singapore

    5 publications · 169 citations

    5

    h-index

1–5 of 371

Venues

  1. 4

    h-index

  2. Neurocomputing

    3 publications · 215 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 83 citations

    2

    h-index

  4. Robotics and Autonomous Systems

    2 publications · 42 citations

    2

    h-index

  5. Remote Sensing

    2 publications · 67 citations

    2

    h-index

1–5