Title
Comparison Of Lateral Controllers For Following Linear Structures Using Computer Vision
Abstract
This paper presents a comparison of lateral controllers for vision-based control of a small autonomous aircraft following a road. Control strategies are designed to stabilize the aircraft lateral control using only the vision measurements and inertial sensors. Methods compared here include several aim-ahead controllers, sliding surface controllers, linear quadratic Gaussian (LQG) regulators, and a receding horizon controller (RHC). Simulation results are given comparing the controllers under ideal conditions as well as with background wind, a zero-roll, assumption in the vision system, and realistic quantization of the control output by the low-level flight control system.
Year
DOI
Venue
2006
10.1109/ACC.2006.1656538
2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12
Keywords
DocType
Volume
vision system,inertial sensors,machine vision,linear quadratic gaussian,inertial navigation,mobile robots,automatic control,stability,linear quadratic gaussian control,control systems,computer vision,visual servoing
Conference
1-12
ISSN
Citations 
PageRank 
0743-1619
2
0.53
References 
Authors
6
1
Name
Order
Citations
PageRank
Eric W. Frew118226.73