Proceedings Paper
Road following for blindBike: an assistive bike navigation system for low vision persons| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 10200:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
Ivan Kadar, Editor(s)
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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