Title :
Design of a positioning system for AGV navigation
Author :
Teo, Tow Yong ; Chai, Joo Siong ; Yao, Wan Li
Author_Institution :
Centre for Unmanned Syst., DSO Nat. Lab., xx, Singapore
Abstract :
The development and implementation of an Automated Ground Vehicle (AGV) positioning and control system in a real world environment presents a challenge. The positioning system for this outdoor, container-carrying AGV, uses an extended Kalman Filter to estimate its position, heading and velocity by fusing together sensor data from several sources. This paper presents the design and implementation considerations for the positioning system in this platform.
Keywords :
Global Positioning System; Kalman filters; automatic guided vehicles; containers; position control; sensor fusion; AGV navigation; Kalman filter; automated ground vehicle; control system; positioning system; real world environment; sensor data fusion; Automatic control; Control systems; Laboratories; Land vehicles; Navigation; Sensor systems; Tires; Uncertainty; Vehicle dynamics; Wheels;
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
DOI :
10.1109/ICARCV.2002.1238498
