Perception For Construction Environments

Perception for Construction Environments is a computational framework that enables robotic systems to interpret and model dynamic, unstructured construction sites through the integration of sensor data, environmental context, and domain-specific knowledge to support situational awareness and decision-making.

23

Publications

1K

Citations

68

Authors

26

Institutions

Publications per year

2017–2026

16

Authors

68

  1. IB
    Ioannis Brilakis

    University of Cambridge, United Kingdom

    2 publications · 102 citations

    2

    h-index

  2. YR
    Y. Rosenfeld

    Technion – Israel Institute of Technology, Israel

    1 publications · 20 citations

    1

    h-index

  3. BC
    Burkhard Corves

    RWTH Aachen University, Germany

    1 publications · 20 citations

    1

    h-index

  4. TH
    Tobias Haschke

    Sigma Clermont, France

    1 publications · 20 citations

    1

    h-index

  5. DH
    Do Hyoung Shin

    Inha University, South Korea

    1 publications · 10 citations

    1

    h-index

1–5 of 68

Venues

  1. Automation in Construction

    7 publications · 547 citations

    9

    h-index

  2. Advanced Engineering Informatics

    3 publications · 274 citations

    3

    h-index

  3. Proceedings of the ... ISARC

    1 publications · 24 citations

    1

    h-index

  4. Sensors

    1 publications · 21 citations

    1

    h-index

  5. Animal Cognition

    1 publications · 13 citations

    1

    h-index

1–5