Visualisation of LiDAR data on the web

Tehnologija LiDAR je skupaj z večjimi zmogljivostmi računalnikov v zadnjem času omogočila hiter razvoj na področju zaznavanja in spremljanja okolice. Podatkom, pridobljenim na ta način, pogosto manjkajo dodatne informacije kot so barva in smer normale na površino. Diplomska naloga opisuje nadgradnjo spletnega pregledovalnika oblakov točk Potree in dodajanje informacij obstoječim podatkovnim zbirkam. Oblaku točk smo najprej s pomočjo topografske karte dodali manjkajoče točke na vodni gladini. Nato smo vsaki točki dodali barvno informacijo glede na orto-foto posnetke. Zadnji korak je bil izračun normal s pomočjo analize glavnih komponent. S tem pregledovalnik točke pravilno osenči glede na definiran položaj sonca. Ta se izračuna iz ure in datuma, ki ju uporabnik določi v pregledovalniku. Na koncu smo sistem še ovrednotili. Izmerili smo hitrost pretvorbe po posameznih korakih in zmogljivost upodabljanja. Pripravili smo podatke za del Slovenije in jih objavili na spletu.LiDAR technology and better computer capabilities have recently enabled rapid development in the area of environment detection and monitoring. However, such data often lacks additional information such as colour and surface normal direction. This thesis describes an upgrade of web point cloud viewer Potree and the process of adding information to existing datasets. The first step was to add missing points on the water surfaces to the point cloud using a topographic map. Then we added colour information from the orthophoto images. The last step was to calculate normals using the principal component analysis. The viewer can correctly shade the point cloud depending on the defined position of the sun. The position is calculated from the time and date, selected by the user. The system was also analysed. We measured transformation speed and rendering performance. Prepared data comprises a part of Slovenia and is available online