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A Data Fusion Architecture Proposal for Visually Impaired People

机译：针对视障人士的数据融合架构建议

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摘要

Based on the difficulties that a Visually Impaired Person (VIP) has in understanding certain contexts, this article proposes a new architecture that aims to contextualize elements of that environment and, thus, help the visually disabled person to move around safely. The main objective of this project is to extract environmental features and to subsequently perform the processes of perception, comprehension and projection of the Situation Awareness (SAW) model. The proposed architecture is composed of Computer Vision techniques (CV) and Data Fusion (DF). The CV techniques were used in order to obtain the necessary characteristics for the DF to perform the search for consistent relationships for pattern recognition and allow for the projection of possible collisions of the VIP with environmental elements. For the collision projection, the specific characteristics of each context were extracted and trained, thus providing the VIP with inferences made in real time.
机译：基于视觉障碍者（VIP）在理解某些上下文时遇到的困难，本文提出了一种新的体系结构，该体系结构旨在使该环境的元素与环境相关联，从而帮助视觉障碍者安全地四处走动。该项目的主要目的是提取环境特征，并随后执行对情境意识（SAW）模型的感知，理解和预测过程。所提出的体系结构由计算机视觉技术（CV）和数据融合（DF）组成。使用CV技术是为了获得DF所需的特征，以执行DF进行模式识别的一致关系的搜索，并允许VIP与环境元素发生可能的碰撞。对于碰撞投影，提取并训练了每个上下文的特定特征，从而为VIP提供了实时的推断。

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