Advances in GIScience: Proceedings of the 12th AGILE by Martin Tomko, Friedjoff Trautwein, Ross S. Purves (auth.),

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) used to be confirmed in early 1998 to advertise educational educating and examine on GIS on the eu point. considering the fact that then, the yearly AGILE c- ference has steadily develop into the major GIScience convention in Europe and gives a multidisciplinary discussion board for clinical wisdom prod- tion and dissemination. GIScience addresses the certainty and automated processing of geospatial info in its complete breadth. whereas geo-objects will be represented both as vector info or in raster codecs those representations have additionally guided the study in several disciplines, with GIS researchers targeting vector information whereas examine in photogrammetry and c- puter imaginative and prescient all for (geospatial) raster facts. even supposing there have - methods been small yet high quality classes addressing photogrammetry and photograph research at earlier AGILE meetings, those issues as a rule performed just a minor position. therefore to increase the area of subject matters the AGILE 2009 con- rence it's together equipped with a Workshop of the overseas Society of Photogrammetry and distant Sensing (ISPRS), devoted to excessive Re- lution satellite tv for pc Imagery, equipped by means of Prof. Christian Heipke of the Le- niz Universität Hannover. This collocation presents possibilities to discover commonalities - tween examine groups and to ease alternate among contributors to increase or deepen mutual knowing. we are hoping that this process permits researchers from the various groups to spot universal - terests and examine equipment and therefore offers a foundation for attainable destiny cooperations.

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Even general public’s service can be called upon. 0 applications, such as the OpenStreetMap2, Google Map Maker3 and WikiMapia4 projects, or the Map Insight5 tool, developed by TeleAtlas. The second strategy – the centralised way – consists in collecting the information about changes from external data such as airborne images or laser scanning data. This strategy also consists in comparing the existing database to more recent data in order to detect new, demolished or modified objects (Figure 1) in the scene.

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. Extraction of Features for Future Driver Assistance Systems 33 Fig. 4. Analysis of the local scatter matrix.

1. Two scanners Riegl LMS-Q120 were pointing up and down at a 20° angle, one is pointing to the right at a 45° angle. Another Riegl LMS-Q140 was pointing to the left at a 45° angle. The LMS-Q120 has a maximum range of 150 m and a ranging accuracy of 25 mm. 000 points/s. Positioning was accomplished using IGI’s TERRAcontrol GNSS/IMU system which consists of a NovAtel GNSS receiver, IGI’s IMU-IId fiber optic gyro IMU Extraction of Features for Future Driver Assistance Systems 31 operating at 256 Hz, an odometer, and a control computer which records all data on a PC card for later post processing.

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