Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jaejeong Shin"'
Publikováno v:
IEEE Access, Vol 12, Pp 122609-122623 (2024)
This paper presents a formulation for deterministically calculating optimized paths for a multi-agent system consisting of heterogeneous vehicles. The key idea is the calculation of the shortest time for each agent to reach every grid point from its
Externí odkaz:
https://doaj.org/article/a6c0da5607684631beffb7ee0bd7d49c
Autor:
Antonio L. Diaz, Andrew E. Ortega, Henry Tingle, Andres Pulido, Orlando Cordero, Marisa Nelson, Nicholas E. Cocoves, Jaejeong Shin, Raymond R. Carthy, Benjamin E. Wilkinson, Peter G. Ifju
Publikováno v:
Drones, Vol 6, Iss 10, p 294 (2022)
A unique drone-based system for underwater mapping (bathymetry) was developed at the University of Florida. The system, called the “Bathy-drone”, comprises a drone that drags, via a tether, a small vessel on the water surface in a raster pattern.
Externí odkaz:
https://doaj.org/article/09c05a636da341a5a95efa873befa0ad
Publikováno v:
IEEE Journal of Oceanic Engineering. 47:780-798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c94ff31c03ba537a4451831cca1c4094
https://doi.org/10.1109/joe.2021.3119150
https://doi.org/10.1109/joe.2021.3119150
Publikováno v:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII.
This paper presents an approach for estimating the confidence level in automatic multi-target classification performed by an imaging sensor on an unmanned vehicle. An automatic target recognition algorithm comprised of a deep convolutional neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac77e5a22d716561d384934090bf5bf4
https://doi.org/10.1117/12.2319988
https://doi.org/10.1117/12.2319988
Publikováno v:
Proceedings of SPIE; 2/25/2018, Vol. 10628, p1-7, 7p