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Research Article

A Context-Aware Artificial Intelligence-based System to Support Street Crossings For Pedestrians with Visual Impairments

ORCID Icon, ORCID Icon & ORCID Icon
Article: 2062818 | Received 07 Feb 2022, Accepted 01 Apr 2022, Published online: 12 Apr 2022

Figures & data

Figure 1. Proposal of camera and smart traffic lights installation in an intersection.

Figure 1. Proposal of camera and smart traffic lights installation in an intersection.

Figure 2. Overview of the system design for the proposed mobile assistive system.

Figure 2. Overview of the system design for the proposed mobile assistive system.

Figure 3. Process flow diagram of the mobile assistive system for blind or visually impaired people.

Figure 3. Process flow diagram of the mobile assistive system for blind or visually impaired people.

Figure 4. Image of a pedestrian crossing retrieved from a Seebot agent installed at an intersection.

Figure 4. Image of a pedestrian crossing retrieved from a Seebot agent installed at an intersection.

Figure 5. Mobile application for street crossing assistance screenshots.

Figure 5. Mobile application for street crossing assistance screenshots.

Table 1. Number of app connections, assistance for safe crossings, and successful data fusion of the system operating over a 3 month period.