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A Data Fusion Architecture Proposal for Visually Impaired People

机译:用于视力受损人物的数据融合架构提案

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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:基于视障人士(VIP)在理解某些情况下的困难,本文提出了一种新的架构,旨在形成该环境的内容,从而帮助视觉残疾人安全地迁移。该项目的主要目标是提取环境特征,并随后执行情境意识(SAW)模型的感知,理解和投影的过程。所提出的架构由计算机视觉技术(CV)和数据融合(DF)组成。使用CV技术以便获得DF的必要特性,以便对模式识别进行一致的关系来执行搜索,并且允许对VIP的可能碰撞具有环境元素的可能碰撞。对于碰撞投影,提取和培训每个上下文的具体特征,从而提供实时提高推断的VIP。

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