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盲人和视力受损者旅行辅助工具的研究和实施

Jun Xu^1,2, Shilong Xu^1,2, Mingyu Ma^1,2

¹School of Automation, Harbin University of Science and Technology, Harbin 150080, China.

Sensors (Basel, Switzerland)

|July 30, 2025

概括

这项研究介绍了盲人和视障人士 (BVI) 的深度学习旅行辅助系统,通过振动反提供实时障碍物检测和导航指导.

科学领域:

计算机科学计算机科学
人工智能的人工智能
辅助技术辅助技术辅助技术

背景情况:

盲人和视障人士 (BVI) 由于当前辅助技术的局限性而面临重大旅行挑战.
现有的解决方案,如基本的音频反和步行棒,在复杂的环境中提供有限的互动性.

研究的目的:

开发一个实时旅行辅助系统,利用深度学习来增强BVI用户的导航和安全.
用轻量级,高效的算法克服嵌入式设备的计算限制.

主要方法:

一个实时系统使用NVIDIA Jetson Nano,英特尔D435i深度摄像头和SG90伺服电机进行反.
开发一种轻量级物体检测和细分算法,具有多尺度的注意力骨干和基于Mamba的双流融合.
系统处理环境数据以检测障碍物和纠正路径偏差,并将其转化为振动反.

主要成果:

该系统在初步测试中证明了实时检测障碍物和纠正路径偏差.
轻量级算法实现了适合嵌入式系统的高计算效率.

结论:

拟议的深度学习系统显示出作为BVI个人有效的旅行辅助工具的潜力.
需要对BVI参与者进行进一步的全面实地试验,以充分验证该系统的有效性和现实世界的适用性.

关键词:

盲人和视力受损的人.深度学习是一种深度学习.轻量级设计轻量级设计实时的实时性能表现.振动反是一种振动反.

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