Abstract:
A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.
Abstract:
Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.
Abstract:
Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
Abstract:
A computing device performs matching between a target image and one or more template images. The computing device receives image data and performs an edge detection algorithm on the image data. The edge detection algorithm includes a distance metric based on angles between gradient vectors in the image data and gradient vectors in one or more templates. The computing device matches a building model to the image data based on results of the edge detection algorithm, wherein the building model is associated with the one or more templates.
Abstract:
Lane level traffic levels are determined based on traffic camera images. A controller aligns a three-dimensional map with a traffic camera view, and identifies multiple lanes in the traffic camera view based on lane delineations of the three-dimensional map. The controller calculates a traffic parameter based on the multiple lanes in image frames from the traffic camera view and provides a traffic graphic based on the traffic parameter.
Abstract:
A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.
Abstract:
Systems, apparatuses, and methods are provided for refining an aerial image. A plurality of aerial images is received using a processor. The plurality of aerial images is developed into a three-dimensional model. The three-dimensional model is synthesized into an improved orthophoto image. The improved orthophoto image may be stored on a personal computer or workstation as a reference platform.
Abstract:
Systems, apparatuses, and methods are provided for three-dimensional modeling of building roofs using three-dimensional point cloud data. Point cloud data of a roof of a building is received, and roof data points are selected or extracted from the point cloud data. Semantic type classifications are calculated for each selected roof data point. Roof styles are determined from the semantic type classifications, and a synthetic model of the roof and building is rendered based on the determined roof style.