Paul Mrstik

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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)
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)
A technique to improve the positional accuracy of mobile ground-based LIDAR systems is proposed. Terrapointpsilas TITAN(TM) system scans the same objects at different times, so by aligning scans, any drift over time can be estimated. This paper describes a simple way of tessellating the scanned data into segments based on the vehiclepsilas path. Principal(More)
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