Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01nc580p958Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Wentzlaff, David | - |
| dc.contributor.author | Fisher, Glenn | - |
| dc.date.accessioned | 2015-06-09T14:20:18Z | - |
| dc.date.available | 2015-06-09T14:20:18Z | - |
| dc.date.created | 2015-05-04 | - |
| dc.date.issued | 2015-06-09 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01nc580p958 | - |
| dc.description.abstract | Avalanches cause a significant number of winter recreational fatalities, including about 150 deaths around the world each year. With a survival probability of 30% after only 35 minutes, it is critical to locate and rescue avalanche victims quickly. This thesis describes the design and implementation of a drone for autonomously locating buried avalanche victims. With widespread use, a commercial adaptation of this drone could reduce the average burial time of 25 minutes and increase the survival probability of buried victims. | en_US |
| dc.format.extent | 35 pages | en_US |
| dc.language.iso | en_US | en_US |
| dc.title | Designing an Autonomous Drone to Locate Avalanche Victims | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2015 | en_US |
| pu.department | Electrical Engineering | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| Appears in Collections: | Electrical and Computer Engineering, 1932-2023 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| PUTheses2015-Fisher_Glenn.pdf | 8.24 MB | Adobe PDF | Request a copy |
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.