| Type of Document |
Master's Thesis |
| Author |
Culhane, Andrew Alan
|
| Author's Email Address |
aculhane@vt.edu |
| URN |
etd-12122007-142004 |
| Title |
Development of an Obstacle Detection System for Human Supervisory Control of a UAV in Urban Environments |
| Degree |
Master of Engineering |
| Department |
Mechanical Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Kochersberger, Kevin Bruce |
Committee Chair |
| Crandall, Jacob |
Committee Member |
| Reinholtz, Charles F. |
Committee Member |
| Wicks, Alfred L. |
Committee Member |
|
| Keywords |
- User Performance Evaluation
- Obstacle Detection
- Supervisory Control
- UAV
|
| Date of Defense |
2007-12-04 |
| Availability |
unrestricted |
Abstract
In order to operate UAVs under human supervisory control in more complex arenas such as urban environments, an obstacle detection system is a requirement to achieve safe navigation. The development of a system capable of meeting these requirements is presented. The first stage of development was sensor selection and initial testing. After this, the sensor was combined with a servomotor to allow it to rotate and provide obstacle detection coverage in front, below, and to both sides of the UAV. Utilizing a PC-104 single board computer running LabView Real-time for on-board control of the sensor and servomotor, a stand alone obstacle detection system was developed meeting the requirements of light weight, low power, and small size. The detection performance of the system for several parameters has been fully characterized. A human subjects study was conducted to assess the any advantages resulting from the addition of the obstacle detection system compared to that of a normal nadir camera. The study demonstrated that users with access to the three-dimensional display were able to navigate an obstacle course with greater success than those with only a camera. Additional development into more advanced visualization of the environment has potential to increase effectiveness of this obstacle detection system.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Culhane_MS_Thesis_ETDrev.pdf |
1.37 Mb |
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