Paper Info
Title
Motion-based stereovision method with potential utility in robot navigation
Abstract
Autonomous robot guidance in dynamic environments requires, on the one hand, the study of relative motion of the objects of the environment with respect to the robot, and on the other hand, the analysis of the depth towards those objects. In this paper, a stereo vision method, which combines both topics with potential utility in robot navigation, is proposed. The goal of the stereo vision model is to calculate depth of surrounding objects by measuring the disparity between the two-dimensional imaged positions of the object points in a stereo pair of images. The simulated robot guidance algorithm proposed starts from the motion analysis that occurs in the scene and then establishes correspondences and analyzes the depth of the objects. Once these steps have been performed, the next step is to induce the robot to take the direction where objects are more distant in order to avoid obstacles.
Year
DOI
Venue
2005
10.1007/11504894_3
IEA/AIE
Keywords
Field
DocType
motion-based stereovision method,stereo vision method,robot navigation,potential utility,simulated robot guidance algorithm,autonomous robot guidance,relative motion,dynamic environment,stereo pair,next step,stereo vision model,motion analysis,stereo vision
Computer vision,Computer science,Stereopsis,Artificial intelligence,Motion estimation,Motion analysis,Mobile robot navigation,Robot,Autonomous robot,Mobile robot,Robotics
Conference
Volume
ISSN
ISBN
3533
0302-9743
3-540-26551-1
Citations 
PageRank 
References 
3
0.38
12
Authors
6
Name
Order
Citations
PageRank
José M. López-Valles1333.55
Miguel A. Fern&aacutendez230.38
Antonio Fernández-Caballero31317117.99
María T. López432128.80
José Mira520512.90
Ana E. Delgado624316.85