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Visual Shoreline Detection for Blind and Partially Sighted People

机译:盲人和弱视人群的视觉海岸线检测

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Currently existing navigation and guidance systems do not properly address special guidance aides, such as the widely used white cane. Therefore, we propose a novel shoreline location system that detects and tracks possible shorelines from a user's perspective in an urban scenario. Our approach uses three dimensional scene information acquired from a stereo camera and can potentially inform a user of available shorelines as well as obstacles that are blocking an otherwise clear shoreline path, and thus help in shorelining. We evaluate two different algorithmic approaches on two different datasets, showing promising results. We aim to improve a user's scene understanding by providing relevant scene information and to help in the creation of a mental map of nearby guidance tasks. This can be especially helpful in reaching the next available shoreline in yet unknown locations, e.g., at an intersection or a drive-way. Also, knowledge of available shorelines can be integrated into routing and guidance systems and vice versa.
机译:当前,现有的导航和制导系统不能正确地处理特殊的制导助手,例如广泛使用的白手杖。因此,我们提出了一种新颖的海岸线定位系统,该系统可以在城市场景中从用户的角度检测并跟踪可能的海岸线。我们的方法使用从立体摄像机获取的三维场景信息,并且可以潜在地向用户通知可用的海岸线以及障碍物,这些障碍物阻碍了本来清晰的海岸线路径,因此有助于海岸线的形成。我们在两个不同的数据集上评估了两种不同的算法方法,显示出令人鼓舞的结果。我们旨在通过提供相关的场景信息来提高用户对场景的理解,并帮助创建附近指导任务的思维导图。这对于在未知位置(例如在交叉路口或行车道上)到达下一条可用的海岸线特别有用。同样,可以将可用海岸线的知识集成到路线和制导系统中,反之亦然。

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