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Proceedings Paper

Road following for blindBike: an assistive bike navigation system for low vision persons
Author(s): Lynne Grewe; William Overell
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Paper Abstract

Road Following is a critical component of blindBike, our assistive biking application for the visually impaired. This paper talks about the overall blindBike system and goals prominently featuring Road Following, which is the task of directing the user to follow the right side of the road. This work unlike what is commonly found for self-driving cars does not depend on lane line markings. 2D computer vision techniques are explored to solve the problem of Road Following. Statistical techniques including the use of Gaussian Mixture Models are employed. blindBike is developed as an Android Application and is running on a smartphone device. Other sensors including Gyroscope and GPS are utilized. Both Urban and suburban scenarios are tested and results are given. The success and challenges faced by blindBike’s Road Following module are presented along with future avenues of work.

Paper Details

Date Published: 2 May 2017
PDF: 15 pages
Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 1020011 (2 May 2017); doi: 10.1117/12.2264548
Show Author Affiliations
Lynne Grewe, California State Univ., East Bay (United States)
William Overell, California State Univ., East Bay (United States)

Published in SPIE Proceedings Vol. 10200:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
Ivan Kadar, Editor(s)

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