Road following for blindBike: an assistive bike navigation system for low vision persons

Lynne Grewe; William Overell

doi:10.1117/12.2264548

2 May 2017 Road following for blindBike: an assistive bike navigation system for low vision persons

Lynne Grewe, William Overell

Proceedings Volume 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI; 1020011 (2017) https://doi.org/10.1117/12.2264548
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

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.

Conference Presentation

Citation Download Citation

Lynne Grewe and William Overell "Road following for blindBike: an assistive bike navigation system for low vision persons", Proc. SPIE 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, 1020011 (2 May 2017); https://doi.org/10.1117/12.2264548

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