Document Type
Article
Keywords
Robotics, Computer Vision, Stereovision, Visual Homing, Navigation
Disciplines
Computer Engineering | Robotics
Abstract
Visual homing is a local navigation technique used to direct a robot to a previously seen location by comparing the image of the original location with the current visual image. Prior work has shown that exploiting depth cues such as image scale or stereo-depth in homing leads to improved homing performance. While it is not unusual to use a panoramic field of view (FOV) camera in visual homing, it is unusual to have a panoramic FOV stereo-camera. So, while the availability of stereo-depth information may improve performance, the concomitant-restricted FOV may be a detriment to performance, unless specialized stereo hardware is used. In this paper, we present an investigation of the effect on homing performance of varying the FOV widths in a stereo-vision-based visual homing algorithm using a common stereo-camera. We have collected six stereo-vision homing databases – three indoor and three outdoor. Based on over 350,000 homing trials, we show that while a larger FOV yields performance improvements for larger homing offset angles, the relative improvement falls off with increasing FOVs, and in fact decreases for the widest FOV tested. We conduct additional experiments to identify the cause of this fall-off in performance, which we term the ‘blinder’ effect, and which we predict should affect other correspondence-based visual homing algorithms.
Publication Title
Robotica
Volume
ONLINE FIRST doi:10.1017/S0263574719001061
Article Number
1072
Publication Date
Summer 7-3-2019
First Page
1
Last Page
17
Extent
17
DOI of Published Version
doi:10.1017/S0263574719001061
Publisher
Cambridge University Press
Language
English
Peer Reviewed
1
Recommended Citation
Lyons, Damian; Barriage, Benjamin; and Del Signore, Luca, "Evaluation of Field of View Width in Stereo-vision-Based Visual Homing" (2019). Faculty Publications. 64.
https://research.library.fordham.edu/frcv_facultypubs/64
Version
Published
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
