Abstract: A method for detecting and modelling of an object on a surface of a road by first scanning the road and generating a 3D model of the scanned road (which 3D model of the scanned road contains a description of a 3D surface of the road) and then creating a top-view image of the road. The object is detected on the surface of the road by evaluating the top-view image of the road. The detected object is projected on the surface of the road in the 3D model of the scanned road. The object projected on the surface of the road in the 3D model of the scanned road is modelled.

Abstract: A method for detecting and modelling of an object on a surface of a road by first scanning the road and generating a 3D model of the scanned road (which 3D model of the scanned road contains a description of a 3D surface of the road) and then creating a top-view image of the road. The object is detected on the surface of the road by evaluating the top-view image of the road. The detected object is projected on the surface of the road in the 3D model of the scanned road. The object projected on the surface of the road in the 3D model of the scanned road is modelled.

Abstract: In a method for reconstruction of a feature in an environmental scene of a road, a 3D point cloud of the scene and a sequence of 2D images of the scene are generated. A portion of candidates of 3D points of the 3D point cloud is identified by projecting the 3D points to each of the 2D images, determining a plurality of candidates of the 3D points of the 3D point cloud representing the feature by semantic segmentation in each of the images, projecting the candidates of the 3D points on a plane of the road in each of the 2D images, and selecting those candidates of the 3D points staying in a projection range on the road in each of the 2D images. The selected candidates of the 3D points are merged for determining estimated locations of the feature. The feature can be modeled by generating a fitting curve along the estimated locations.

Abstract: A method for detecting and modelling of an object on a surface of a road by first scanning the road and generating a 3D model of the scanned road (which 3D model of the scanned road contains a description of a 3D surface of the road) and then creating a top-view image of the road. The object is detected on the surface of the road by evaluating the top-view image of the road. The detected object is projected on the surface of the road in the 3D model of the scanned road. The object projected on the surface of the road in the 3D model of the scanned road is modelled.