户外导航辅助系统基于强大的实时视听替代方法
Florian Scalvini1, Camille Bordeau2, Maxime Ambard2
1Laboratory ImViA EA 7535, Université de Bourgogne, 21078 Dijon, France.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
本研究介绍了一种新型的盲人导航辅助工具,使用3D空间化声音和传感器数据进行实时指导. 该系统增强了视力障碍者在导航环境中的独立性和安全性.
科学领域:
- 计算机科学 计算机科学
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
背景情况:
- 全球有数以百万计的人失明,这严重影响了日常旅行和独立.
- 现有的导航辅助工具往往缺乏实时空间信息,这对于安全有效的移动至关重要.
- 需要先进的辅助技术来赋予视力障碍者权力至关重要.
研究的目的:
- 开发和评估一种新的导航辅助系统,用于严重失明的人.
- 通过提供可靠的环境导航,增强盲人的自主性和生活质量.
- 整合多感官信息,以实现直观有效的空间指导.
主要方法:
- 一种深度学习方法,利用神经网络来定义轨迹和检测障碍物.
- 集成惯性传感器,GPS数据和地图行人路径知识.
- 实时处理使用低功耗嵌入式GPU和多线程架构,结合基于相机的视觉线索.
主要成果:
- 该系统实现了用于导航辅助的低延迟和实时处理能力.
- 有效地整合听觉 (3D空间化声音) 和视觉线索,以提高空间意识.
- 在复杂的环境中展示了可靠和高效的导航潜力.
结论:
- 拟议的导航辅助提供了对视力受损者辅助技术的重大进步.
- 这种系统可以大大提高盲人的独立性和流动性.
- 该技术的实时嵌入式处理可以确保在没有远程依赖的情况下实现实际应用.
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