This data set is part of a thesis project on detection, localization and monitoring of urban objects in 3D LIDAR scan taken continuously at ground level. The main goal is to be able to take a point cloud corresponding to a georeferenced scan of a city and precisely localize all the urban objects such as traffic signs, cars, trees, etc… and collect informations about their status, like a tree’s growth or a damaged light pole.
The datas consists of 3d point clouds of urban objects divided in 8 classes :
For each of these datasets, we extracted the examples, ie point clouds, who could fit under one of the class we previously defined. We then regrouped all of them in one base that we used as a training dataset.
Second we performed an urban LIDAR acquisition with the help of the Leica Pegasus backpack. The scanned consist of a small residential area, a tramway station and trees. We manually isolated 160 urban objects from the scan with the following classes repartition :
Made by Gaetan Fine 2018
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