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
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1K
Citations
68
Authors
26
Institutions
Publications per year
2017–2026
16
Parents
23
Manoj Kurien, Marianna Kopsida, Ioannis Brilakis · Automation in Construction · 2017 · 80 citations · Full text
Engineering, Mechatronics Engineering, Robotics Engineering +17
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Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
1 publications
80 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
1 h-index
3 publications
54 citations
Robotnik (Spain)
Paterna, Spain
1 h-index
1 publications
20 citations

Utsunomiya University
Utsunomiya, Japan
1 h-index
1 publications
18 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
2 publications
40 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
44 citations
Curtin University
Perth, Australia
1 h-index
2 publications
104 citations
The University of Tokyo
Tokyo, Japan
1 h-index
4 publications
72 citations
1–8 of 26
7 publications · 547 citations
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3 publications · 274 citations
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1 publications · 24 citations
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1 publications · 21 citations
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1 publications · 13 citations
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