Paul Mrstik

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The ever improving capabilities of the direct geo-referencing technology is having a positive impact on the widespread adoption of LiDAR systems for the acquisition of dense and accurate surface models over extended areas. LiDAR systems can quickly provide accurate surface models with a dense set of irregular points, surpassing the quality of those derived(More)
Datasets of stretches of railway tracks are collected using both Airborne and Terrestrial LiDAR scanners having varying density, resolution and provide different views of the railway track. Manual feature extraction from such datasets is tedious and labour intensive. Therefore, automatic extraction of desired features is highly desirable. In this work, we(More)
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