G01C21/3815

Vehicle Map Service System

Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data including vehicle map service data. The disclosed technology can perform operations including receiving vehicle map service data from a plurality of service systems that include a plurality of client systems associated with a vehicle. The vehicle map service data can include information associated with a geographic area. A local map of the geographic area within a predetermined distance of the vehicle can be generated based on the vehicle map service data. Portions of the local map to which each client system is subscribed can be determined for each client system of the plurality of client systems. Additionally, the portions of the local map to which each client system is subscribed can be sent to a respective client system of the plurality of client systems.

Method of Determining a Point of Interest and/or a Road Type in a Map, and Related Cloud Server and Vehicle

Provided is a computer-implemented method of determining a point of interest and/or a road type in a map, comprising the steps of: acquiring processed sensor data collected from one or more vehicles; extracting from the processed sensor data a set of classification parameters; and determining based on the set of classification parameters one or more points of interest (POI) and its geographic location and/or one or more road types.

SYSTEMS AND METHODS FOR COMMON SPEED MAPPING AND NAVIGATION
20230236037 · 2023-07-27 ·

A system for collecting and distributing navigation information relative to a road segment is disclosed. In one embodiment, the system includes at least one processor programmed to receive drive information collected from each of a plurality of vehicles that traversed the road segment, wherein the drive information received from each of the plurality of vehicles includes indicators of speed traveled by one of the plurality of vehicles during a drive traversing the road segment; determine, based on the indicators of speed included in the drive information received from each of the plurality of vehicles, at least one aggregated common speed profile for the road segment; store the at least one aggregated common speed profile in an autonomous vehicle road navigation model associated with the road segment; and distribute the autonomous vehicle road navigation model to one or more autonomous vehicles for use in navigating along the road segment.

Apparatus and associated methods for indicating road data gatherer upload zones
11519744 · 2022-12-06 · ·

An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: generate an indication of one or more communication network receiver upload zones for a road data gatherer along a planned route to be travelled by the road data gatherer, the indication determined according to a predetermined upload criterion, which takes account of the bandwidth capacities of communication network receivers along the planned route for the road data gatherer, to specify communication network receivers to be used by the road data gatherer for uploading of road data; and provide the indication to guide uploading of the road data gathered by the road data gatherer.

Neural networks with attention al bottlenecks for trajectory planning
11565715 · 2023-01-31 · ·

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning a trajectory of a vehicle. One of the methods includes obtaining input data for planning a driving trajectory for a vehicle, the input data comprising an intended route for the vehicle and data characterizing an environment in a vicinity of the vehicle; processing the input data using an input encoder neural network to generate feature data that includes a respective feature representation for each of a plurality of locations in the environment; applying spatial attention to the feature representations to generate a respective attention weight for each of the plurality of locations; generating a respective attended feature representation for each of the plurality of locations; generating a bottlenecked representation of the attended feature representations; and generating a planned future trajectory from at least the bottlenecked representation.

DATA PRODUCT GENERATION AND PRODUCTION BASED ON RESEGMENTING AND/OR MERGING ROAD SEGMENTS
20230021813 · 2023-01-26 ·

A system configured to, and method of, generating and providing a data product using data supplied by a multitude of vehicles. The system/method includes carrying out a re-segmentation process in which an initial set of road segments are processed so as to obtain a re-segmented set of road segments; attributing traffic data to at least a subset of the re-segmented set of road segments, wherein, for each road segment of the subset of road segments, a portion of the traffic data is attributed to the road segment based on geographical proximity; carrying out a road segment merging process on the re-segmented set of road segments in order to obtain a merged set of road segments; aggregating metrics associated with the merged set of road segments to obtain aggregated road segment data; generating the data product using the aggregated road segment data; and providing the data product to a third party.

IDENTIFICATION OF CONNECTION PATTERNS ON THE BASIS OF TRAJECTORY DATA
20230028461 · 2023-01-26 ·

A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

SYSTEMS, VEHICLES, AND METHODS FOR ENGAGING A DISCONNECTED AXLE
20230022383 · 2023-01-26 ·

Various disclosed embodiments include illustrative systems, vehicles, and methods. In an illustrative embodiment, a system includes a sensor configured to generate route information, and a control unit. The control unit includes a processor in signal communication with the sensor and a memory configured to store computer-executable instructions. The computer-executable instructions are configured to cause the processor to receive the generated route information, generate a wheel signal responsive to the received route information indicating a change in wheel engagement status, and output the wheel signal to a disconnect.

OFF-ROAD ACTIVITY TRACKER

Disclosed embodiments include systems, vehicles, and methods for tracking off-road travel. In an illustrative embodiment, a system includes a computing device having computer-readable media storing computer-executable instructions configured to cause the computing device to monitor a vehicle location. The vehicle location is identified on map data for an area encompassing the location and including road data for recognized roads in the area. Off-road travel is detected in response to determining that the vehicle location is outside of the recognized roads. Travel data is recorded representing the off-road travel of the vehicle.

Method for producing an autonomous navigation map for a vehicle

The method of preparing a navigation autonomy map for a vehicle covering a zone including path segments, comprising the following steps: identifying the path segments for which the map needs to be prepared; for each path segment, calculating a primary autonomy index in accordance with at least two distinct functions; and calculating for each path segment a final autonomy index by taking a weighted average of the primary autonomy indices. An autonomy map, an application of the autonomy map, and a vehicle using such an autonomy map.