Title :
Mobile robot range sensing through visual looming
Author :
Sahin, Erol ; Gaudiano, Paolo
Author_Institution :
Neurobotics Lab., Boston Univ., MA, USA
Abstract :
Describes and evaluates visual looming as a monocular range sensing method for mobile robots. The looming algorithm is based on the relationship between the displacement of a camera relative to an object, and the resulting change in the size of the object´s image on the focal plane of the camera. We have carried out systematic experiments to evaluate the ranging accuracy of the looming algorithm using a Pioneer 1 mobile robot equipped with a color camera. We have also performed noise sensitivity for the looming algorithm, obtaining theoretical error bounds on the range estimates for given levels of odometric and visual noise, which were verified through experimental data. Our results suggest that looming can be used as a robust, inexpensive range sensor as a complement to sonar
Keywords :
distance measurement; image sensors; mobile robots; noise; path planning; Pioneer 1 mobile robot; color camera; focal plane; monocular range sensing method; noise sensitivity; odometric noise; ranging accuracy; visual looming; visual noise; Cameras; Colored noise; Equations; Mobile robots; Noise level; Noise robustness; Robot kinematics; Robot sensing systems; Robot vision systems; Sonar;
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713690