Abstract
The wide range of applications and configurations of UAVs raises the need for different types of navigation methodologies compared to the conventional INS/GPS system. For instance, the limitation in cost, size and weight of indoor UAVs makes conventional navigation system unsuitable for these vehicles. In addition, the INS/GPS navigation system is impractical for indoor applications because the GPS signal is not reliable in closed territories. This paper proposes a new, cost-effective and simple indoor navigation system using three laser beams fixed to the body of the UAV and shooting to the ground. Then, a camera and computer vision algorithm are used to capture the laser dots on the ground and determine their coordinates. The position of laser dots is used to obtain full information about the position and orientation of the UAV. The proposed navigation system can be classified as a vision based navigation system, yet, it does not depend highly on the quality of the video shots taken from the vision camera and does not require a heavy image processing algorithm. An illustrative simulation study is conducted to demonstrate the validity of the proposed navigation system. © 2011 IEEE.
| Original language | English |
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| Title of host publication | 2011 19th Mediterranean Conference on Control and Automation, MED 2011|Mediterr. Conf. Control Autom., MED |
| Pages | 1223-1228 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 19th Mediterranean Conference on Control and Automation, MED 2011 - Corfu Duration: 1 Jul 2011 → … |
Conference
| Conference | 2011 19th Mediterranean Conference on Control and Automation, MED 2011 |
|---|---|
| City | Corfu |
| Period | 1/07/11 → … |
Keywords
- Global Positioning System
- aircraft control
- aircraft navigation
- cameras
- path planning
- remotely operated vehicles
- robot vision
- GPS signal
- INS-GPS navigation system
- computer vision algorithm
- heavy image processing algorithm
- indoor UAV
- indoor navigation system design
- laser beam
- laser dots
- video shot quality
- vision camera
- Cameras
- Earth
- Ferroelectric films
- Nonvolatile memory
- Random access memory