A method includes a computing system accessing a training sample that includes first sensor data obtained using a first sensor at a first geographic location, and first metadata comprising information relating to the first sensor. The system may train a machine-learning model by generating first map data by processing the training sample using the model and updating the model based on the generated first map data and target map data associated with the first geographic location. The system may then access second sensor data and second metadata, where the second sensor data is obtained using a second sensor. The system may generate second map data associated with a second geographic location by processing the second sensor data and the second metadata using the trained model. A high-definition map may be generated using the second map data.

The described technology is generally directed towards digital map truth maintenance. Map inputs shared among multiple users of a shared overlay map service can have a range of credibility, from not credible to highly credible. The disclosed digital map truth maintenance technologies can be used to enhance credibility of shared map inputs. Credibility values can be calculated for map inputs, based on any of multiple factors. Map inputs having sufficiently high credibility, such as a credibility value determined to be above a threshold value, can be shared among multiple mobile devices.

A vehicle data processing method and device are provided. The vehicle data processing method includes: acquiring vehicle data; determining a degree of completion of a preset goal according to the vehicle data; and determining incentive reference data associated with an incentive to a user according to the degree of completion of the preset goal.

A method for updating a map including receiving a first image depicting a geographical area including a first roadway and an occluded area, determining a location of the first roadway segment in response to the first image, receiving a plurality of vehicle telemetry data associated with the first roadway segment and a second roadway segment within the occluded area, updating a map data with the location of the first roadway, determining a location of the occluded area in response to the first image and the plurality of vehicle telemetry data associated with the second roadway segment, requesting an alternate data in response to determination of the location of the occluded area, determining a location of a second roadway segment in response to the alternate data wherein the second roadway segment was occluded in the first image, and updating the map data with the location of the second roadway segment.

System for creating a surroundings model of a motor vehicle, which is or can be connected with: at least one navigation unit, which is equipped to provide information about the instantaneous position of the vehicle and information about at least one segment of road in front of the vehicle in time and space, wherein the navigation unit provides the information in a digital map format and/or in absolute position information, at least one interface, which is equipped to communicate with at least one object to be merged in the surroundings of the vehicle, wherein the information received by the interface includes absolute position information on the at least one object to be merged, and/or at least one sensor unit, which is equipped to detect at least one object to be merged in the surroundings of the vehicle, wherein the at least one sensor unit is additionally equipped to provide relative position information on the at least one object to be merged relative to the vehicle, wherein the system is equipped to ascertain the geometry of a segment of road in front of the vehicle by using the information supplied by the at least one navigation unit about the segment of road in front of the vehicle, wherein the system is equipped to merge the absolute position information and/or the relative position information on the at least one object to be merged with information provided by the at least one navigation unit in the digital map format to create a vehicle surroundings model based on the geometry of the road thereby ascertained.

A virtual teaching system includes a semi-autonomous device to perform a task such as cleaning a target environment. The semi-autonomous device includes one or more sensors configured to record environmental data from the target environment that can be used to construct a virtual environment. The semi-autonomous device is operably coupled to an analysis system. The analysis system includes a processor to perform multiple functions, such as constructing the virtual environment from the recorded environmental data and supporting operation of a user interface. The user interface can be operably coupled to the processor, allowing a human operator to teach a virtual device in the virtual environment to perform an action sequence. Once the virtual device has been taught an action sequence in the virtual environment, the analysis system can transfer the recorded action sequence to the semi-autonomous device for use in the target environment.

A system for determining safety of a road segment may include at least one processor programmed to receive, from a first vehicle, first navigation information associated with the road segment. The first navigation information may include information collected by a first sensor of the first vehicle from an environment of the first vehicle. The at least one processor may also be programmed to receive, from a second vehicle, second navigation information associated with the road segment. The second navigation information may include information collected by a second sensor of the second vehicle from an environment of the second vehicle. The at least one processor may further be programmed to determine, based on the first navigation information and the second navigation information, a score representative of the safety of the road segment, and transmit, to a third vehicle, the score representative of the safety of the road segment.

The present invention relates to a road vehicle localisation method based on magnetic landmarks. Said method is comprised by an offline phase and by an online phase. The offline phase is responsible for creating a reference landmark database comprised by a plurality of magnetic landmarks, wherein each magnetic landmark is associated to a path location data. The online phase is projected to match a current anomaly detected with a reference anomaly of the reference landmark database, in order to estimate the location of a vehicle based on the path location data of the correspondent reference landmark.

It is also described a system comprised by a sensor unit, a storage unit and by a processing unit, which is specifically programmed to operate according the road vehicle localisation method developed.

A measurement vehicle (101) acquires measurement environment data indicating a measurement environment from a measurement system and transmits the acquired measurement environment data to a base station (104). The measurement vehicle (101) receives movement measurement instruction data indicating an instruction on the movement measurement from the base station (104). The measurement vehicle (101) controls the measurement system in accordance with the instruction indicated by the received movement measurement instruction data.

Systems and methods for mapping the distribution of residue material in an environment in which one or more agricultural machines are operable. A sensing arrangement having one or more sensors mounted or otherwise coupled to an agricultural machine operating within the environment is used to obtain sensor data indicative of residue material spread by a spreader tool of the agricultural machine. From this a local distribution of residue material associated with the spreader tool is determined which is used to update a map of a global distribution of the residue material across the environment. The map comprises a grid-based map having a plurality of cells corresponding to sub-regions within the environment, wherein a value associated with each cell is representative of a measure of the residue material present within the corresponding sub-region.