An Architecture for Collision Risk Prediction for Visually Impaired People

The production of sensory substitution equipment for the visually impaired (VIP) is growing. The aim of this project is to understand the VIP context and predict the risks of collision for the VIP, following an analysis of the position, distance, size and motion of the objects present in their envir...

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Bibliographic Details
Main Authors: Cordeiro, Natal Henrique, Pedrino, Emerson Carlos
Format: Conference Proceeding
Language:English
Subjects:
Cameras
collision risk
Computer architecture
Data integration
dynamic objects
Indoor environment
prediction
Radiofrequency identification
Surface acoustic waves
Visually impaired people
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Summary:The production of sensory substitution equipment for the visually impaired (VIP) is growing. The aim of this project is to understand the VIP context and predict the risks of collision for the VIP, following an analysis of the position, distance, size and motion of the objects present in their environment. This understanding is refined by data fusion steps applied to the Situation Awareness model to predict possible impacts in the near future. With this goal, a new architecture was designed, composed of systems that detect free passages, static objects, dynamic objects and the paths of these dynamic objects. The detected data was mapped into a 3D plane verifying positions and sizes. For the fusion, a method was developed that compared four more general classifiers in order to verify which presented greater reliability in the given context. These classifiers allowed inferences to be made when analyzing the risks of collision in different directions. The architecture designed for risk prediction is the main contribution of this project.
ISSN:2377-5416
DOI:10.1109/SIBGRAPI.2018.00046