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Unmanned terrestrial inspection of bridge infrastructure using image processing techniques

Unmanned terrestrial inspection of bridge infrastructure using image processing techniques
使用图像处理技术对桥梁基础设施进行无人地面检查
批准号:
RGPIN-2017-06466
负责人:
Ferworn, Alexander
金额:
$1.53万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
这项研究计划的目的是利用无人驾驶飞机或自主机器人来检查桥梁。法律要求每座桥梁每年至少检查两次。加拿大有一个庞大的桥梁网络正在老化。作为这项研究计划的一部分,申请人将研究自主机器人的设计,并开发一个连接到基于云的系统的系统网络。在那里,基于相同单元或类似结构的预先存在的图像来分析和解释图像。
英文摘要
The intention of this research program is to utilize unmanned drones or autonomous robots for inspecting bridges. It is required by law to inspect every bridge at least twice a year. Canada has a vast network of bridges that are aging. As part of this research program, the applicant will investigate design of autonomous robots, and develop a network of systems that would link to a cloud based system. There, images are analyzed and interpreted based on pre-existing images of the same unit or similar structures.
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