Predictive Collision Detection
Predictive Collision Detection is a computational method in human-robot interaction that, as a subset of collision avoidance systems, distinguishes itself by anticipatorily identifying potential collisions through forward-looking models of human and robot motion dynamics rather than relying solely on current positional proximity.
12
Publications
359
Citations
39
Authors
15
Institutions
Publications per year
2017–2026
5
12
Byeongjoon Noh, Hwasoo Yeo · Transportation Research Part C Emerging Technologies · 2022 · 44 citations
1–5 of 12
39
Korea Advanced Institute of Science and Technology, South Korea
2 publications · 83 citations
2
h-index
2
h-index
Korea Advanced Institute of Science and Technology, South Korea
2 publications · 83 citations
2
h-index
1
h-index
1
h-index
1–5 of 39
15
Electronics and Telecommunications Research Institute
Daejeon, South Korea
2 h-index
3 publications
67 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
5 publications
205 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
1 h-index
1 publications
11 citations
University of Michigan
Ann Arbor, United States
1 h-index
3 publications
246 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
3 publications
30 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
7 publications
70 citations
Fraunhofer Institute for Applied Information Technology
Sankt Augustin, Germany
1 h-index
1 publications
10 citations
Center for Information Technology
Bethesda, United States
1 h-index
6 publications
162 citations
1–8 of 15
1 publications · 65 citations
1
h-index
1 publications · 25 citations
1
h-index
Conference · 1 publications · 10 citations
1
h-index
1 publications · 39 citations
1
h-index
1 publications · 44 citations
1
h-index
1–5