Found 8 datasets matching "unmanned aerial vehicles".
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Emission data from UAV flights. This dataset is associated with the following publication: Zhou, X., J. Aurell, B. Mitchell, D. Tabor, and B. Gullett. A small, lightweight multipollutant sensor...
Search relevance: 58.60 | Views last month: 3 -
This paper presents a novel battery health management technology for the new generation of electric unmanned aerial vehicles powered by long-life, high-density, scalable power sources. Current...
Search relevance: 51.65 | Views last month: 18 -
During summer months, coastal Louisiana is plagued with floating aquatics that fill and block canals and small waterways causing trouble for boaters. This floating aquatic starts growing in the...
Search relevance: 50.67 | Views last month: 0 -
This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state estimates (prognosis)...
Search relevance: 50.51 | Views last month: 0 -
This test was concerned with collecting human annoyance responses to commercially available small unmanned aerial systems (sUAS), as well as common road vehicles. It was done in a laboratory...
Search relevance: 50.11 | Views last month: 0 -
The ability to utilize prognostic system health information in operational decision making, especially when fused with information about future operational, environmental, and mission...
Search relevance: 49.52 | Views last month: 0 -
Battery Health Management (BHM) is a core enabling technology for the success and widespread adoption of the emerging electric vehicles of today. Although battery chemistries have been studied in...
Search relevance: 44.57 | Views last month: 0 -
These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside,...
Search relevance: 31.79 | Views last month: 0
