Vision Assisted Landing of an Unmanned Aerial Vehicle
Abstract
In this paper, a strategy for an autonomous landing maneuver for an under-actuated, unmanned aerial vehicle (UAV) using position information obtained from a single monocular on-board camera is presented. Although the UAV is underactuated in translational control inputs (i.e., a lift force can only be produced), the proposed controller is shown to achieve globally uniform ultimate boundedness (GUUB) in position regulation error during the landing approach. The proposed vision-based control algorithm is built upon homography-based techniques and Lyapunov design methods.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2005
- Accession Number
- ADA465706
Entities
People
- Darren M. Dawson
- Jian Chen
- Mathew Feemster
- Vilas K. Chitrakaran
Organizations
- Clemson University