Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2019-08-24 000000m 08:41:32 - Overview

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Name (Institute + Shorttitle)DublinCity 
Description (include details on usage, files and paper references)Urban Modelling Group at University College Dublin (UCD) captured major area of Dublin city centre (i.e. around 5.6 km^2 including partially covered areas) was scanned via an ALS device which was carried out by helicopter in 2015. However, the actual focused area was around 2 km^2 which contains the most densest LiDAR point cloud and imagery dataset. The flight altitude was mostly around 300m and the total journey was performed in 41 flight path strips.

Herein, around 260 million points (out of 1.4 billion) are labelled (figure 1). The selected area is within the most densely sampled part of the point cloud (i.e. 250 to 348 points/m^2) with full coverage by aerial images. This area (i.e. inside the red boxes) includes diverse types of historic and modern urban elements. Types of buildings include offices, shops, libraries, and residential houses. Those buildings are in the form of detached, semi-detached and terraced houses and belong to different eras (e.g. from 17th century rubrics building to the 21st century George’s Quay complex as a modern structure). 
URL Linkhttps://v-sense.scss.tcd.ie/dublincity/ 
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References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)LIDAR 
Last Changed2019-08-24 
Turing (2.12+3.25=?) :-)