Automated Localization and ADA Functional Condition Assessment of Curb Ramps using Mobile Lidar
| 项目名称： | Automated Localization and ADA Functional Condition Assessment of Curb Ramps using Mobile Lidar |
| 摘要： | Mobile lidar provides detailed 3D geometry information in the form of 3D point clouds that can be used to extract various characteristics and metrics to determine the Americans with Disabilities Act (ADA) compliance of curb ramps. Each point in the mobile lidar data is georeferenced enabling the compliance assessment results to be easily added to the existing agency inventory. However, manual processing of mobile lidar data can often still be tedious and time-consuming and requires specialized software and training. These barriers prevent agencies from using it for curb ramp ADA compliance assessment. Additionally, a more rigorous accuracy assessment needs to be conducted to evaluate the effectiveness and reliability of a mobile lidar based curb ramp assessment. This project will develop autonomous algorithms to identify curb ramps from mobile lidar data and extract relevant measurements for ADA compliance to produce a geographic information system (GIS) layer to support mobility assessment. |
| 状态： | Active |
| 资金： | 80000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Turkan, Yelda |
| 执行机构： | Oregon State University, Corvallis |
| 开始时间： | 20200816 |
| 预计完成日期： | 20220815 |
| 主题领域： | Data and Information Technology；Highways；Pedestrians and Bicyclists；Safety and Human Factors |
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