loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: D. Castells 1 ; J. M. F. Rodrigues 2 and J. M. H. du Buf 2

Affiliations: 1 Universidad Politécnica de Madrid, Spain ; 2 University of the Algarve (ISE and FCT), Portugal

ISBN: 978-989-674-029-0

Keyword(s): Sidewalk border detection, Obstacle avoidance, Path tracking, Visually impaired.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Image Formation and Preprocessing ; Implementation of Image and Video Processing Systems ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Motion, Tracking and Stereo Vision ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Visual Navigation

Abstract: We present part of a vision system for blind and visually impaired people. It detects obstacles on sidewalks and provides guidance to avoid them. Obstacles are trees, light poles, trash cans, holes, branches, stones and other objects at a distance of 3 to 5 meters from the camera position. The system first detects the sidewalk borders, using edge information in combination with a tracking mask, to obtain straight lines with their slopes and the vanishing point. Once the borders are found, a rectangular window is defined within which two obstacle detection methods are applied. The first determines the variation of the maxima and minima of the gray levels of the pixels. The second uses the binary edge image and searches in the vertical and horizontal histograms for discrepancies of the number of edge points. Together, these methods allow to detect possible obstacles with their position and size, such that the user can be alerted and informed about the best way to avoid them. The system works in realtime and complements normal navigation with the cane. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.158.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Castells D.; M. F. Rodrigues J.; M. H. du Buf J. and (2010). OBSTACLE DETECTION AND AVOIDANCE ON SIDEWALKS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 235-240. DOI: 10.5220/0002816002350240

@conference{visapp10,
author={D. Castells and J. {M. F. Rodrigues} and J. {M. H. du Buf}},
title={OBSTACLE DETECTION AND AVOIDANCE ON SIDEWALKS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={235-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002816002350240},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - OBSTACLE DETECTION AND AVOIDANCE ON SIDEWALKS
SN - 978-989-674-029-0
AU - Castells, D.
AU - M. F. Rodrigues, J.
AU - M. H. du Buf, J.
PY - 2010
SP - 235
EP - 240
DO - 10.5220/0002816002350240

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.