Immersive Street Visualization

Immersive Street Visualization is a computational visualization framework that distinguishes itself by enabling interactive, three-dimensional, and often real-time representation of street-level urban environments, thereby facilitating a heightened sense of presence and spatial understanding through immersive technologies such as virtual or augmented reality.

5

Publications

210

Citations

15

Authors

4

Institutions

Publications per year

2017–2026

3

Authors

15

  1. RS
    Richard Szeliski

    Microsoft (United States), United States

    2 publications · 113 citations

    2

    h-index

  2. MC
    Michael Cohen

    University of California, Santa Cruz, United States

    2 publications · 113 citations

    2

    h-index

  3. LZ
    Le-Min Zhang

    National Cheng Kung University, Taiwan

    1 publications · 17 citations

    1

    h-index

  4. BC
    Billy Chen

    Vanderbilt University, United States

    1 publications · 21 citations

    1

    h-index

  5. RZ
    Ruo-Xi Zhang

    National Cheng Kung University, Taiwan

    1 publications · 17 citations

    1

    h-index

1–5 of 15

Venues

  1. Urban Planning International

    1 publications · 37 citations

    1

    h-index

  2. Landscape and Urban Planning

    1 publications · 43 citations

    1

    h-index

  3. 1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 92 citations

    1

    h-index

1–4