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Updated: May 21, 2025

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4D+城市人行道:将行人视图集成到人行道空间中,以支持以用户为中心的城市空间感知
Jinjing Zhao1, Yunfan Chen1, Yancheng Li1
1School of Electronics, Peking University, Beijing 100871, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
这项研究介绍了智能城市的空间可视化系统,改进了行人导航. 它使用相机数据准确地跟踪户外人行道环境中的个人和物体.
科学领域:
- 计算机科学 计算机科学
- 城市规划 城市规划
- 地理信息系统 (GIS) 是一个地理信息系统.
背景情况:
- 随着城市化和数字化的增加,智能城市中需要先进的行人解决方案.
- 加强个人与街道环境之间的互动对于城市流动性至关重要.
- 现有的系统在动态的户外环境中往往缺乏精确的空间意识.
研究的目的:
- 为户外人行道环境引入可扩展的空间可视化系统.
- 改善行人和其他移动参与者的定位和跟踪.
- 建立行人与街道之间的空间关系,以加强城市导航.
主要方法:
- 两阶段系统:空间前阶段 (第一人称数据,地标定位) 和目标定位阶段 (CCTV数据).
- 利用第一人称视觉数据和人行道地标来定位摄像头.
- 使用高角度闭路电视 (CCTV) 摄像头来检测周围的物体,如行人和骑自行车的人.
- 开发一个4D+虚拟监控系统,集成用户位置和CCTV观测.
主要成果:
- 基于地标的定位实现了0.468米的平均平面定位误差和0.120米的高度误差.
- 使用CCTV摄像头定位其他目标的总体误差为0.24米.
- 在现实世界大学校园环境中成功展示了移动参与者的时空可视化.
结论:
- 开发的系统有效地建立了行人和街道之间的空间关系.
- 该系统为行人导航和改善城市生态系统提供了有前途的应用.
- 整合了详细的人行道视图和多摄像头数据,提高了智能城市的空间意识.
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