Gianfranco Forlani

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LIDAR (LIght Detection And Ranging) data are a primary data source for digital terrain model (DTM) generation and 3D city models. This paper presents a three-stage framework for a robust automatic classification of raw LIDAR data as buildings, ground and vegetation, followed by a reconstruction of 3D models of the buildings. In the first stage the raw data(More)
Laser scanners and image matching algorithms produce large amounts of 3D data, allowing detailed and accurate descriptions of objects. This is true, though, only if interactive or automated software tools are available, to extract the information relevant to the specific task from raw 3D data sets without too much user interaction. In the last two years our(More)
A photogrammetric strategy for the orientation of image sequences acquired by Mobile Mapping Vehicles (MMV) is presented. The motivations for this are twofold: to allow image georeferencing in short GPS outages for a MMV under development at the University of Parma, currently without an IMU; to improve the consistency of image georeferencing between(More)
LIDAR (Light Detection And Ranging) data are a primary data source for digital terrain model (DTM) generation and 3D city models. This paper presents an AdaBoost algorithm for the identification of rules for the classification of raw LIDAR data mainly as buildings, ground and vegetation. First raw data are filtered, interpolated over a grid and segmented.(More)
A strategy for building extraction and building reconstruction from dense LIDAR data is presented. Roofs are modeled as plane surfaces, connected along ridges and bordered by the eaves lines. Initial segmentation of terrain and non-terrain features is performed on grid data; after segmentation by region growing and region topology, classification is(More)
This paper presents a strategy for the automatic orientation of short image sequences acquired by Mobile Mapping Vehicles when the navigation solution is not available or not accurate enough. Using Structure and Motion reconstruction techniques, conjugate points are extracted and matched along the sequence, removing mismatches by robust estimation of the(More)
System calibration is required in integrated IMU/GPS systems to account for the spatial offset and misalignment between IMU, GPS and camera frames; synchronization is to be maintained, to predict IMU/GPS position and orientation data at the mid-exposure time of the images. To this aim, measurement on the ground, complemented by a calibration flight over a(More)
The stability of a rock slope depends on the rock mass geo-structure and its discontinuities. Discontinuities show up at the rock surface as smooth and often plane surfaces. From their location and orientation the main families of fractures can be inferred and a stability analysis performed. To gather information on their distribution, surveys are typically(More)
Automatic image orientation of close-range image blocks is becoming a task of increasing importance in the practice of photogrammetry. Although image orientation procedures based on interactive tie point measurements do not require any preferential block structure, the use of structured sequences can help to accomplish this task in an automated way.(More)