By Martin Tomko, Friedjoff Trautwein, Ross S. Purves (auth.), Prof. Monika Sester, Prof. Lars Bernard, Prof. Volker Paelke (eds.)
The organization of Geographic info Laboratories for Europe (AGILE) was once validated in early 1998 to advertise educational instructing and learn on GIS on the eu point. given that then, the yearly AGILE c- ference has steadily develop into the major GIScience convention in Europe and offers a multidisciplinary discussion board for medical wisdom prod- tion and dissemination. GIScience addresses the knowledge and automated processing of geospatial info in its complete breadth. whereas geo-objects may be represented both as vector facts or in raster codecs those representations have additionally guided the study in numerous disciplines, with GIS researchers focusing on vector info whereas learn in photogrammetry and c- puter imaginative and prescient taken with (geospatial) raster info. even though there have - methods been small yet high quality periods addressing photogrammetry and photo research at earlier AGILE meetings, those subject matters often performed just a minor position. therefore to expand the area of issues the AGILE 2009 con- rence it really is together prepared with a Workshop of the overseas Society of Photogrammetry and distant Sensing (ISPRS), devoted to excessive Re- lution satellite tv for pc Imagery, equipped via Prof. Christian Heipke of the Le- niz Universität Hannover. This collocation offers possibilities to discover commonalities - tween examine groups and to ease alternate among members to strengthen or deepen mutual knowing. we are hoping that this process allows researchers from the several groups to spot universal - terests and examine equipment and hence offers a foundation for attainable destiny cooperations.
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Additional info for Advances in GIScience: Proceedings of the 12th AGILE Conference
Extraction of Features from Mobile Laser Scanning Data for Future Driver Assistance Systems Claus Brenner Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Appelstr. de Abstract. Research and development of driver assistance systems is currently a very active field. One building block of future systems will be an accurate and reliable positioning, which can be realized by relative measurement, using on-board sensors and maps of the environment. However, a prerequisite will be that such maps can be produced fully automatically.
However, although the 3D point cloud obtained by the Streetmapper system is huge, single poles are not hit by very many points (Fig. 3). Thus, methods which rely on the extraction of the surface, of surface normal vectors, or even of curvature, are not applicable. Also, horizontal slicing to detect circular structures, as used in Luo & Wang (2008), will not work. Fig. 3. Examples for poles: a traffic light, a street light and two signs, top view (left) and 3D view (right). In the 3D view, two bicyclists can be recognized, standing close to the highest pole.
Distant airport, with a building exceeding the size of 25m. As such, the airport is a significant element in the photograph. 2 Discussion Two experiments were performed in a semi-rural environment with abundant vegetation and sparse man-made objects – POIs. In the experiments, a substantial reduction in the counts of spatial objects incorrectly classified as visible was achieved by limiting the visibility calculation to a distance at which an object has a visual magnitude above a visual impact threshold.
Advances in GIScience: Proceedings of the 12th AGILE Conference by Martin Tomko, Friedjoff Trautwein, Ross S. Purves (auth.), Prof. Monika Sester, Prof. Lars Bernard, Prof. Volker Paelke (eds.)