为视力障碍者提供无危险的户外路径导航器
Sri Anima Padmini Viriyala1, Vithya Ganesan1
1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
Disability and rehabilitation. Assistive technology
|July 24, 2025
概括
本研究介绍了一种人工智能驱动的视觉障碍者导航系统,使用在线和离线方法提供无危险的路线. 该系统识别并避免了对更安全旅行的潜在障碍.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 视力障碍者需要强大的导航辅助,以确保安全和独立旅行.
- 现有的导航系统往往缺乏识别和减轻动态环境危害的复杂性.
研究的目的:
- 为视觉障碍用户开发一个多技术导航系统.
- 为复杂的环境创建无危险和优化的路由解决方案.
主要方法:
- 利用人工智能 (AI),深度学习 (DL) 和机器学习 (ML) 进行在线危险检测和路径寻找.
- 实现了一个张量处理单元 (TPU),用于离线路径图生成.
- 开发了使用专用"危险路径数据集"的模糊可信无危险路径 (FTHRP) 算法.
- 通过人工智能驱动的上下文推断利用语义路线映射.
主要成果:
- 该系统有效地识别了潜在的户外危险,如悬挂的树枝,招牌和移动的物体.
- 人工智能和DL技术预测人工和自然危险,以选择优化的,没有障碍的路径.
- 动态重定向功能通过避免意想不到的障碍来确保持续的安全.
结论:
- 拟议的导航系统增强了视力障碍者的移动性和安全性.
- 人工智能,DL和多技术方法的整合为辅助导航提供了重大进步.
- 对于现实世界的导航挑战,FTHRP算法提供可靠的路径规划和动态重新路由.
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