Abstract: Disclosed herein is a technique for processing map change data in a map client that uses the map changes to apply changes and updates to current map data. The map client provides the updated map data to other components in an autonomous vehicle. The map change data describes the processing in the map client to obtain updated map data from the map data.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Disclosed herein is a technique for generating and providing an indication to an autonomous vehicle regarding the confidence level for the accuracy or quality of the map data in which the indication is determined from observation data received from other vehicles.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: ABSTRACT METHODS AND SYSTEMS FOR GENERATING AND USING LOCALISATION REFERENCE DATA 5 Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for classifying data points of a point cloud indicative of the environment around a vehicle by using features of a digital map relating to a deemed current position of the vehicle. Such methods and systems can be used to detect road actors, such as other vehicles, around a vehicle capable of sensing its environment as a point cloud; preferably used by highly and fully automated driving applications.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. A vehicle localization is obtained by comparing real time depth map acquired by a sensor associated to the vehicle to a depth map associated to a digital map. The depth maps are indicative of an environment around the vehicle. Longitudinal and lateral offsets of the vehicle with respect to the digital map are determined. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for classifying data points of a point cloud indicative of the environment around a vehicle by using features of a digital map relating to a deemed current position of the vehicle. Such methods and systems can be used to detect road actors, such as other vehicles, around a vehicle capable of sensing its environment as a point cloud; preferably used by highly and fully automated driving applications.

Abstract: A method of determining a longitudinal position of a vehicle (100) relative to a digital map is disclosed in which real time scan data (200, 202) is determined by scanning a lateral environment around the vehicle using at least one range-finder sensor, said real time scan data comprising one or more depth maps, each depth map representing the measured lateral distance to surfaces in the lateral environment for a plurality of longitudinal positions and elevations. Localization reference data associated with the digital map for a deemed current longitudinal position of the vehicle (100) in relation to the digital map is retrieved, and compared to the real time scan data (200, 202) by calculating a cross-correlation to determine a longitudinal offset. The deemed current longitudinal position is adjusted based on said longitudinal offset to determine the longitudinal position of the vehicle (100) relative to the digital map.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: ABSTRACT METHODS AND SYSTEMS FOR GENERATING AND USING LOCALISATION REFERENCE DATA 5 Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: Methods and systems for improved positioning accuracy relative to a digital map are disclosed, and which are preferably used for highly and fully automated driving applications, and which may use localisation reference data associated with a digital map. A vehicle localization is obtained by comparing real time depth map acquired by a sensor associated to the vehicle to a depth map associated to a digital map. The depth maps are indicative of an environment around the vehicle. Longitudinal and lateral offsets of the vehicle with respect to the digital map are determined. The invention further extends to methods and systems for the generation of localisation reference data associated with a digital map.

Abstract: A method of determining a longitudinal position of a vehicle (100) relative to a digital map is disclosed in which real time scan data (200, 202) is determined by scanning a lateral environment around the vehicle using at least one range-finder sensor, said real time scan data comprising one or more depth maps, each depth map representing the measured lateral distance to surfaces in the lateral environment for a plurality of longitudinal positions and elevations. Localisation reference data associated with the digital map for a deemed current longitudinal position of the vehicle (100) in relation to the digital map is retrieved, and compared to the real time scan data (200, 202) by calculating a cross-correlation to determine a longitudinal offset. The deemed current longitudinal position is adjusted based on said longitudinal offset to determine the longitudinal position of the vehicle (100) relative to the digital map.

Abstract: A navigation system for use in a vehicle (402). The system includes an absolute position sensor, such as GPS, in addition to one or more additional sensors, such as a camera, laser scanner, or radar. The system further comprises a digital map or database that includes records for at least some of the vehicle's surrounding objects (400). These records can include relative positional attributes with respect to a reference axis (404). As the vehicle (402) moves, sensors sense the presence of at least some of these objects (400), and measure the vehicle's relative position to those objects. This information is used to determine the vehicle's instantaneous lateral offset (428) relative to the reference axis (404), and support features such as enhanced driving directions, collision avoidance, or automatic assisted driving. The system also allows new objects (408, 414) to be attributed using relative positioning, and thereby factored into the enhanced navigation features.

Abstract: A method of generating a geodetic reference database product is disclosed The method comprises acquiring mobile mapping data captured by means of digital cameras, range sensors and position determination means including GPS and IMU mounted to a vehicle driving across the earth surface, the mobile mapping data comprising simultaneously captured image data, range data and associated position data in a geographic coordinate system. Linear stationary earth surface features are derived from the mobile mapping data by processing the image data, range data and associated position data. 3D-models are generated for the linear stationary earth surface features in the geographic coordinate system from the image data, range data and associated position data and stored in a database to obtain the geodetic reference database product. A 3D-model could include an image representing the colors of the surface of the 3D model or a set of smaller images representing photo-identifiable objects along the model.

Abstract: A positioning method for use in a vehicle navigation or mapping system is disclosed, and a system implementing such a method. The method comprises obtaining one or more sets of sensor measurement data from at least one sensor located on or in a vehicle, each set of sensor measurement being indicative of the distance of objects in an environment around the vehicle from the sensor, and each set of sensor measurement data comprising data obtained from a range of positions in a time or distance window along the direction of travel of the vehicle. A correlation procedure is performed correlating the one or more sets of sensor measurement data with stored reference sensor measurement data, and a relative position of the vehicle against stored location data associated with the stored reference sensor measurement data is determined in dependence on the correlation procedure.

Abstract: A navigation method and navigation system are disclosed. In at least one embodiment, the method has the following actions: a.) receiving position data from a position determining device; b.) when approaching a junction with the navigation system, displaying the junction view on a display, the junction view showing data as to a real-life view of the junction inclusive of an image of each signpost present on the junction as visible to a user of the navigation system; c.) receiving route information from route planning software indicating a route to be followed by the user; and d.) highlighting on the display a signpost related to a road segment to be followed by the user relative to all other signposts as shown on the display.