Accessible spaces: navigating through a marked environment with a camera phone
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
LSD: A Fast Line Segment Detector with a False Detection Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Mobile-Cloud Collaborative Traffic Lights Detector for Blind Navigation
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Detection of pedestrian crossing using bipolarity feature-an image-based technique
IEEE Transactions on Intelligent Transportation Systems
The crosswatch traffic intersection analyzer: a roadmap for the future
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
Listen to it yourself!: evaluating usability of what's around me? for the blind
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Independent mobility in unfamiliar environments is a significant challenge for people with severe vision impairment. Among other problems, one specific issue concerns the identification of those road signs that can be recognized by sight only. In this paper we present ZebraLocalizer, an application for mobile devices that identifies zebra crossings and guides the user towards them. Two main problems are discussed in this contribution: the identification and localization of the crosswalks, performed by processing data acquired both from the camera and the accelerometers, and the design of an interaction paradigm specifically addressed to blind users. Experimental results, conducted both on a dataset of images and with blind users, validate the applicability of the proposed solution.