| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
A point cloud based visualization system of sewer pipe networks was developed based on point cloud data in order to reduce their maintenance and operation costs and improve public understanding. Two types of point cloud data were generated. The first type is a point cloud date set obtained via images taken mainly by a UAV mounted camera flying over a college campus. The second type is a data set generated from 3D CAD models of sewer pipe networks found in the campus. These two types of data sets were merged into one hybrid data set by which the sewer networks can thus be visualized in relation to buildings, roads, and other objects above the ground. The data base also stores the results of sewer integrity studies such as inspection video clips and damage lists. The developed system can present automatically proper section of sewer pipe networks based on current locations calculated from GPS signals received by a smart phone.
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