Abstract: A method of merging a plurality of disparity maps. The method comprises calculating a plurality of disparity maps each from images captured by another of a plurality of pairs of image sensors having stereoscopic fields of view (SFOVs) with at least one overlapping portion, the SFOVs covering a scene with a plurality of objects, identifying at least one of the plurality of objects in the at least one overlapping portion, the at least one object being mapped in each the disparity map, calculating accuracy of disparity values depicting the object in each the disparity map, merging depth data from the plurality of disparity maps according to the accuracy so as to provide a combined depth map wherein disparity values of the object are calculated according to one of the plurality of disparity maps, and outputting the depth data.

Abstract: A method of merging a plurality of disparity maps. The method comprises calculating a plurality of disparity maps each from images captured by another of a plurality of pairs of image sensors having stereoscopic fields of view (SFOVs) with at least one overlapping portion, the SFOVs covering a scene with a plurality of objects, identifying at least one of the plurality of objects in the at least one overlapping portion, the at least one object being mapped in each the disparity map, calculating accuracy of disparity values depicting the object in each the disparity map, merging depth data from the plurality of disparity maps according to the accuracy so as to provide a combined depth map wherein disparity values of the object are calculated according to one of the plurality of disparity maps, and outputting the depth data.

Abstract: Apparatus for processing of a LiDAR point cloud of a ground scan, comprises: a point cloud input for receiving said LiDAR point cloud, a ground filter for filtering out points that belong to the ground from said point cloud, thereby to generate an elevation map showing features extending from the ground, an automatic feature search and recognition unit associated with said three dimensional graphical engine for searching said elevation map of said three-dimensional model to identify features therein and to replace points associated with said feature with a virtual object representing said feature, thereby to provide objects within said data; and a three-dimensional graphical renderer supporting three-dimensional graphics, to generate a three-dimensional rendering of said ground scan.

Abstract: Apparatus for processing of a LiDAR point cloud of a ground scan, comprises: a point cloud input for receiving said LiDAR point cloud, a ground filter for filtering out points that belong to the ground from said point cloud, thereby to generate an elevation map showing features extending from the ground, an automatic feature search and recognition unit associated with said three dimensional graphical engine for searching said elevation map of said three-dimensional model to identify features therein and to replace points associated with said feature with a virtual object representing said feature, thereby to provide objects within said data; and a three-dimensional graphical renderer supporting three-dimensional graphics, to generate a three-dimensional rendering of said ground scan.