Sense-and-avoid
Sense-And-Avoid is a computational framework in autonomous systems that integrates real-time environmental sensing with collision-avoidance decision-making to enable safe navigation in dynamic environments.
145
Publications
5.2K
Citations
453
Authors
163
Institutions
Publications per year
2017–2026
43
Variants
SaaSense And Avoid
Parents
145
Detection, prediction, and avoidance of dynamic obstacles in urban environments
Dave Ferguson, Michael Darms, Chris Urmson et al. · 2008 · 133 citations
1–5 of 145
453
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163

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
7 h-index
11 publications
289 citations
RMIT University
Melbourne, Australia
6 h-index
20 publications
922 citations
MIT Lincoln Laboratory
Lexington, United States
5 h-index
19 publications
459 citations
University of Florida
Gainesville, United States
4 h-index
9 publications
217 citations

Queensland University of Technology
Brisbane, Australia
4 h-index
11 publications
219 citations

University of Naples Federico II
Naples, Italy
4 h-index
15 publications
272 citations
Northrop Grumman (Germany)
Freiburg, Germany
3 h-index
11 publications
357 citations
Defense Research Associates (United States)
Beavercreek, United States
3 h-index
5 publications
217 citations
1–8 of 163
6 publications · 317 citations
6
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7 publications · 163 citations
6
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4 publications · 87 citations
4
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4 publications · 175 citations
4
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4 publications · 175 citations
4
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