Paper
9 January 1995 Flexible vision-based navigation system for unmanned aerial vehicles
Author Affiliations +
Proceedings Volume 2352, Mobile Robots IX; (1995) https://doi.org/10.1117/12.198983
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
A critical component of unmanned aerial vehicles in the navigation system which provides position and velocity feedback for autonomous control. The Georgia Tech Aerial Robotics navigational system (NavSys) consists of four DVTStinger70C Integrated Vision Units (IVUs) with CCD-based panning platforms, software, and a fiducial onboard the vehicle. The IVUs independently scan for the retro-reflective bar-code fiducial while the NavSys image processing software performs a gradient threshold followed by a image search localization of three vertical bar-code lines. Using the (x,y) image coordinate and CCD angle, the NavSys triangulates the fiducial's (x,y) position, differentiates for velocity, and relays the information to the helicopter controller, which independently determines the z direction with an onboard altimeter. System flexibility is demonstrated by recognition of different fiducial shapes, night and day time operation, and is being extended to on-board and off-board navigation of aerial and ground vehicles. The navigation design provides a real-time, inexpensive, and effective system for determining the (x,y) position of the aerial vehicle with updates generated every 51 ms (19.6 Hz) at an accuracy of approximately +/- 2.8 in.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik P. Blasch "Flexible vision-based navigation system for unmanned aerial vehicles", Proc. SPIE 2352, Mobile Robots IX, (9 January 1995); https://doi.org/10.1117/12.198983
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Intravascular ultrasound

Navigation systems

Control systems

Unmanned aerial vehicles

Cameras

Charge-coupled devices

Servomechanisms

RELATED CONTENT


Back to Top