Real-time Collaborative Mapping

Real-Time Collaborative Mapping is a computational framework that enables multiple geographically distributed users to simultaneously contribute, view, and edit shared spatial data in a synchronized manner with minimal latency, thereby distinguishing itself from batch- or deferred-update mapping systems through its continuous and instantaneous integration of collaborative inputs.

15

Publications

739

Citations

52

Authors

29

Institutions

Publications per year

2017–2026

7

Authors

52

  1. TH
    Tsukasa Hirashima

    Hiroshima University, Japan

    1 publications · 27 citations

    1

    h-index

  2. ZS
    Zhiyao Song

    Nanjing Normal University, China

    1 publications · 15 citations

    1

    h-index

  3. GP
    Guoqiang Peng

    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, China

    1 publications · 15 citations

    1

    h-index

  4. HL
    Honray Lin

    Carnegie Mellon University, United States

    1 publications · 42 citations

    1

    h-index

  5. AP
    Aryo Pinandito

    University of Brawijaya, Indonesia

    1 publications · 27 citations

    1

    h-index

1–5 of 52

Venues

  1. International Journal of Advanced Robotic Systems

    ARS · 1 publications · 18 citations

    1

    h-index

  2. Design Studies

    1 publications · 53 citations

    1

    h-index

  3. Natural Hazards

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. IEICE Transactions on Information and Systems

    1 publications · 27 citations

    1

    h-index

1–5