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ISSN

3060-9453(Oline)
3060-9461(Print)

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SGD$600

Publication Frequency

Bi-Monthly

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Published

2026-08-04

Issue

Vol 3 No 3 (2026): Published

Section

Articles

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基于Python的适老视觉引导策略研究

罗 新果

天津大学


DOI: https://doi.org/10.59429/kxjsyy.v3i3.14789


Keywords: 老年人;无障碍环境;视觉引导;计算机视觉;Python;CARLA;AnyLogic


Abstract

针对老年人视觉识别能力下降导致无障碍空间寻路效率偏低的问题,提出一种基于 Python 的视觉引导策略优 化方法。利用 OpenCV、NumPy 与 NetworkX 提取标识对比度、位置及路径节点特征,在 CARLA 中复现典型无障 碍场景,并在 AnyLogic 中建立老年代理体寻路模型。通过比较不同对比度、安装高度、节点间距和重复提示策略的 仿真结果,得到较优视觉引导组合。结果表明,优化方案可使平均寻路时间缩短 25% 以上,错误转向和停顿次数明 显下降,可达性评分提升约 30%,适合用于学校、社区和医院等空间的适老化改造前期评估。


References

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