Crosswatch: a System for Providing Guidance to Visually Impaired Travelers at Traffic Intersections

Area of Science:

• Human-Computer Interaction
• Assistive Technology
• Computer Vision

Background:

• Blind and visually impaired individuals face significant challenges navigating traffic intersections independently.
• Existing navigation aids often lack the precision and contextual information required for safe pedestrian travel.
• The Crosswatch project aims to develop a smartphone-based system to address these challenges.

Purpose of the Study:

• To describe recent progress and future directions of the Crosswatch project.
• To enhance a smartphone-based system for guiding visually impaired travelers at traffic intersections.
• To augment computer vision with GIS and sensor data for improved pedestrian navigation.

Main Methods:

• Summarized past Crosswatch functionalities and detailed new system developments.
• Focused on a new functionality for precise user location determination.
• Designed and preliminarily tested a user interface for this functionality with visually impaired volunteers.

Main Results:

• Preliminary tests demonstrated the feasibility and usability of the new Crosswatch functionality for visually impaired users.
• The system's core technologies are maturing rapidly.

Conclusions:

• The Crosswatch system shows strong potential for practical application in improving independent travel for the visually impaired.
• Preliminary findings suggest areas for future improvement and exploration.
• The system offers an innovative solution to a critical problem for pedestrian safety and mobility.