Title :
Position estimation for a mobile robot in an unstructured environment
Author :
Talluri, Raj ; Aggarwal, J.K.
Author_Institution :
Comput. & Vision Res. Center, Texas Univ., Austin, TX, USA
Abstract :
Presents a solution to the positional estimation problem of an autonomous land vehicle navigating in an unstructured mountainous terrain. A digital elevation map (DEM) of the area in which the robot is to navigate is assumed to be given. It is also assumed that the robot is equipped with a camera that can be panned and tilted, and a device to measure the elevation of the robot above the ground surface. No recognizable landmarks are assumed to be present in the environment in which the robot is to navigate. The solution presented makes use of the DEM information, and structures the problem as a heuristic search in the DEM for the possible robot location. The shape and position of the horizon line in the image plane and the known camera geometry of the perspective projection are used as parameters to search the DEM. Various heuristics drawn from the geometric constraints are used to prune the search space significantly
Keywords :
computer vision; mobile robots; navigation; planning (artificial intelligence); position control; search problems; autonomous land vehicle; digital elevation map; geometric constraints; heuristic search; machine vision; mobile robot; navigation; position estimation; search space; unstructured environment; Cameras; Computer vision; Dead reckoning; Mobile robots; Navigation; Orbital robotics; Position measurement; Robot sensing systems; Robot vision systems; Wheels;
Conference_Titel :
Intelligent Robots and Systems '90. 'Towards a New Frontier of Applications', Proceedings. IROS '90. IEEE International Workshop on
Conference_Location :
Ibaraki
DOI :
10.1109/IROS.1990.262382