Abstract:
A computer arrangement is disclosed, including a processor and a memory that stores a computer program, object data originating from a first source and including object location data, and laser samples originating from a second source, including a sub-set of laser samples relating to the object and including laser sample location data as to each laser sample. In at least one embodiment, the processor compares the object location data and the laser sample location data of the sub-set of laser samples, and matches the object location data to the laser sample location data of the sub-set of laser samples based on this comparison, and thereby corrects for relative positional errors between the first and second sources of location data. The object may be a building façade, for example.
Abstract:
A method of compressing data output from an acceleration measurement means configured to be transported, carried or worn by a user is provided. Acceleration values indicative of the movement of the user are measured at a first frequency and values representative of the measured acceleration values are generated at a second frequency, which is lower than the first frequency. The step of generating comprises: defining a plurality of time windows, each time window containing a plurality of measured acceleration values; and applying a transformation to the measured acceleration values within each time window to generate a plurality of transformed values. For each time window, storing at least one of said plurality of transformed values and/or one or more parameters associated therewith.
Abstract:
A method of producing lane information for use in a map database is disclosed. In at least one embodiment, the method includes acquiring one or more source images of a road surface and associated position and orientation data, the road having a direction and lane markings parallel to the direction of the road; acquiring road information representative of the direction of said road; transforming the one or more source images to obtain a transformed image in dependence of the road information, wherein each column of pixels of the transformed image corresponds to a surface parallel to the direction of said road; applying a filter with asymmetrical mask on the transformed image to obtain a filtered image; and producing lane information from the filtered image in dependence of the position and orientation data associated with the one or more source images.
Abstract:
A computer arrangement is disclosed, including a processor that can communicate with a memory. The memory stores a computer program that can be run by the processor, and stores a set of laser scan samples including a sub-set of laser scan samples relating to a façade of a building and stores location data as to each laser scan sample. The memory also stores a picture of the same façade including location data as to pixels of the picture. The picture includes data as to a wall of the façade and data as to texture elements in the wall. In at least one embodiment, the processor automatically identifies the wall and the texture elements in the picture while using the laser scan samples.
Abstract:
A method of producing linear features along a reference-line across a surface for use in a map database is disclosed. In at least one embodiment, the method includes generating, from reference-line data representative of coordinates of the reference-line in a geographic coordinate reference system and source images of the surface adjacent to the reference-line and associated position and orientation data in the geographic coordinate reference system, a reference-line referenced data set, wherein the reference-line referenced data set includes a plurality of sets of image data and associated data defining a reference-line' across a surface in the geographic coordinate reference system, the sets of image data including pixels wherein a set of image data corresponds to an orthorectified view representation of a line section of the surface in the geographic coordinate reference system, each set of image data includes a reference pixel being associated with a position on the reference-line, wherein each pixel represents a surface having a position at a distance from the position of the reference pixel along the line section, and wherein the line section perpendicularly crosses the reference-line at the position associated with the reference pixel; and, post processing the reference-line referenced data set to produce linear features along the reference-line and associated locations in the geographic coordinate reference system for use in a map database.
Abstract:
A method of detecting objects from terrestrial based mobile mapping data is disclosed, wherein the terrestrial based mobile mapping data has been captured by way of a terrestrial based mobile mapping vehicle driving on a road having a driving direction, the mobile mapping data including laser scanner data, source images obtained by at least one camera and position and orientation data of the vehicle, wherein the laser scanner data includes laser points, each laser point having associated position and orientation data, and each source image comprises associated position and orientation data. In at least one embodiment, the method includes: retrieving a position and orientation of the vehicle; filtering the laser scanner data in dependence of the position and orientation of the vehicle to obtain laser points corresponding to regions of interest; retrieving a source image associated with the position and orientation of the vehicle; mapping the laser points corresponding to regions of interest to image coordinates of the source image to generate a recognition mask; combining the recognition mask and the source image to obtain candidate 3D images representative of possible objects within the regions of interest; and, detecting a group of objects from the candidate 3D images. By combining image recognition and laser scanner recognition the detection rate can be increased to a very high percentage, thereby substantially reducing human effort. Furthermore, the generating of regions of interest in the laser data, enables a significant reduction of the processing power and/or the processing time needed to detect the objects in the images.
Abstract:
A method of identifying a planar object in source images is disclosed. In at least one embodiment, the method includes: retrieving a first source image obtained by a first terrestrial based camera; retrieving a second source image obtained by a second terrestrial based camera; retrieving position data associated with the first and second source image; retrieving orientation data associated with the first and second source image; performing a looking axis rotation transformation on the first and second source image by use of the associated position data and orientation data to obtain first and second intermediate images, wherein the first and second intermediate images have an identical looking axis; performing a radial logarithmic space transformation on the first and second intermediate images to obtain first and second radial logarithmic data images; detecting an area in the first image potentially being a planar object; comparing the potential planar object having similar dimensions in the second radial logarithmic data image and similar rgb characteristics; and finally, identifying the area as a planar object and determining its position. At least one embodiment of the method enables the engineer to detect very efficiently planar perpendicular objects in subsequent images.
Abstract:
A method is disclosed for generating an orthorectified tile. In at least one embodiment, the method includes retrieving source images obtained by way of a terrestrial based camera; retrieving position data associated with the source images; retrieving orientation data associated with the source images; and converting source image by means of corresponding position data and orientation data to obtain the orthorectified tile. Orthorectified tiles are used to generate an orthorectified mosaic. As such, images recorded by terrestrial based camera may be used to generate a map of a road surface with corresponding road signs.
Abstract:
In one embodiment of the present invention, a method of and apparatus for determining inaccurate GPS samples in a set of GPS samples is disclosed, according to the following actions: a) obtaining GPS samples as taken by a global positioning system on board a vehicle when traveling along a trajectory; b) obtaining a first estimation of the trajectory based on the GPS samples; c) obtaining a second estimation of the trajectory at least based on measurements made by an inertial measurement unit on board vehicle when traveling along the trajectory; d) comparing the first and second estimations; e) establishing locations where the first estimation shows a variation compared with the second estimation above a predetermined threshold; f) if no such locations can be established continue with action j), otherwise continue with action g); g) removing GPS samples associated with the locations of high variation as being inaccurate GPS samples, thus forming a set of remaining GPS samples; h) calculating the first estimation anew of the trajectory based on the remaining GPS samples and calculating the second estimation anew; i) repeating actions d) to h); j) ending the actions.
Abstract:
A system and method for map matching with sensor detected objects. A direct sensor and object matching technique can be used to disambiguate objects that the driver passes. The technique also makes it possible for the navigation system to refine (i.e. improve the accuracy of) its position estimate. In some embodiments, a camera in the car can be used to produce, dynamically in real time, images of the vicinity of the vehicle. Map and object information can then be retrieved from a map database, and superimposed on those images for viewing by the driver, including accurately defining the orientation or the platform so that the alignment of the map data and the image data is accurate. Once alignment is achieved, the image can be further enhanced with information retrieved from the database about any in-image objects. Objects may be displayed accurately on a map display as icons that help the driver as he/she navigates the roads.