Patent classifications
G01C21/3863
Navigation system and navigation method
A navigation system includes an operation input unit, a temporary storage unit, and a control unit that executes processing concerning the navigation operation using the information for applications. The control unit sets analysis priority levels for analysis processing performed for each of the kinds of the map information and sets generation priority levels for each of the kinds of the information for applications, performs, with at least one kind of map information as an analysis target, the analysis processing generates the information for applications in order according to the generation priority levels based on results of the analysis processing respectively obtained for the map information set as the analysis target, saves the generated information for applications in the temporary storage unit, and executes processing concerning the navigation operation using the information for applications saved in the temporary storage unit.
VARIABLE HEADER AND OBJECT PAYLOAD
A system for navigating a host vehicle includes at least one electronic horizon processor to determine an electronic horizon for the host vehicle based on localization of the host vehicle relative to a map, generate a navigation information packet including information associated with the determined electronic horizon, and output the generated navigation information packet to one or more navigation system processors configured to cause the host vehicle to execute at least one navigational maneuver based on the information included in the navigation information packet.
Method of computer vision based localisation and navigation and system for performing the same
In relation to the field of vehicle navigation, we describe a method of determining a position of a subject (such as a vehicle, platform or target), comprising the steps of obtaining and storing an object dataset comprising object data indicative of one or more objects in an environment, including an indication of object parameters associated with the or each object, the object parameters including one or more of location, orientation, one or more dimensions, and a type associated with the object, obtaining environment data indicative of a region of the environment from a sensor associated with the subject, determining the presence of an observed object in the environment data, including determining one or more equivalent observed object parameters associated with the observed object, and determining the position of the subject based on a comparison of the observed object parameters with the equivalent object parameters of the objects in the object dataset.
Dynamic Change of Map Origin
A system for navigating a host vehicle includes at least one electronic horizon processor to detect a map origin change event, and in response to a detected map origin change event, determine an updated map origin and send to one or more navigation system processors a notification indicative of a change from an initial map origin to the updated map origin.
NAVIGATION USING POINTS ON SPLINES
A system for navigating a host vehicle includes at least one electronic horizon processor to access a map representative of at least a road segment on which the host vehicle travels or is expected to travel, wherein the map includes one or more splines representative of road features associated with the road segment, localize the host vehicle relative to a drivable path for the host vehicle represented among the one or more splines, determine a set of points associated with the one or more splines based on the localization of the host vehicle relative to the drivable path for the host vehicle, and generate a navigation information packet including information associated with the one or more splines and the determined set of points relative to the one or more splines.
Edge Segmentation Between Road Nodes
A system for navigating a host vehicle includes at least one electronic horizon processor to determine an electronic horizon for the host vehicle based on localization of the host vehicle relative to at least one mapped feature, determine a set of internode road sub-segments that are included in the electronic horizon, generate one or more navigation information packets including information associated with the set of internode road sub-segments included in the electronic horizon, and output the generated one or more navigation information packets to one or more navigation system processors configured to cause the host vehicle to execute at least one navigational maneuver based on the information included in the navigation information packet.
Detecting a road closure by a lead autonomous vehicle (AV) and updating routing plans for following AVs
A lead autonomous vehicle (AV) includes a sensor configured to observe a field of view in front of the lead AV. Following AVs are on the same road behind the lead AV. A processor of the lead AV is configured to detect a road closure. The processor overrides driving instructions of the lead AV, such that the lead AV is stopped at first location coordinates. The processor sends a first message to an operation server, indicating that the road closure is detected. The operation server update the first portion of the map data, reflecting the road closure. The operation server determines whether re-routing is possible for each AV. If re-routing is possible is possible for that AV, the operation server sends re-routing instructions to the AV. If re-routing is not possible is possible for that AV, the operation server sends pulling over instructions to the AV.
JOINT OPTIMIZATION OF VEHICLE MOBILITY, COMMUNICATION NETWORKS, AND COMPUTING RESOURCES
A computer-implemented method, a computer program product, and a computer system for optimizing vehicle mobility, communication networks, and required computing resources for a connected vehicle. A computer applies user-defined settings to configure associated optimization algorithms. The computer aggregates data structures related to traveling distances, mobility metrics, and expected levels of Quality of Service (QoS) for one or more applications in a connected vehicle. The computer calculates an optimal route, given imposed constraints including points of interest and QoS requirements of the one or more applications. The computer prepares expected QoS of the one or more applications, recommended configurations of the one or more applications, and recommended configurations of one or more networks along the optimal route. The computer provides the connected vehicle with the optimal route, the recommended configurations of the one or more applications, and recommended the configurations of the one or more networks.
METHODS OF SPECIFYING GEOGRAPHICAL LOCATIONS, AND DATABASE AND DATABASE OF DATABASES USING THE SAME
A method is provided for integrally specifying a geographic location and an indoor location within a building. When the coordinates of one point on the Earth are given as a geodetic latitude φ, a longitude λ, and an ellipsoidal height h in a geodetic coordinate system based on the Earth ellipsoid, the location of the point is represented with a new coordinates including a Northing N, an Easting E, and selectively a floor representing integer F. The Northing N is given as a linear function of the distance measured along the prime meridian from the latitude-longitude origin to the waypoint, and the Easting is given as a linear function of the distance measured along the parallel of latitude from the waypoint to the ellipsoidal point.
METHOD, APPARATUS AND SYSTEM FOR GENERATING REAL SCENE MAP
The present disclosure relates to a method, an apparatus and a system for generating a real scene map. The method includes: performing recognition on an acquired panorama image to obtain a target frame for each point of interest in the panorama image, where the target frame is used for selecting a point of interest through a frame, and the target frame has a position attribute, determining relative position information of each target frame with respect to the panorama image according to the position attribute of each target frame, and embedding each target frame into a preset sphere model according to the relative position information of each target frame with respect to the panorama image to obtain a panorama sphere model, and rendering the panorama sphere model to obtain a real scene map.