In exemplary embodiments, methods and systems are provided that include: obtaining, via telematics systems of a plurality of vehicles, vehicle telemetry data as the plurality of vehicles travel through one or more geographic regions; transforming, from a computer processor, the vehicle telemetry data into a geohash encoded format pertaining to the one or more geographic regions; identifying, via a processor, a plurality of road junctions using the vehicle telemetry data that is transformed into a geohashed encoding; identifying, via the processor, a plurality of road segments using the vehicle telemetry data that is transformed into a geohashed encoding for the one or more geographic regions; and generating, via the processor, a road network mapping for the one or more geographic regions that includes the plurality of road junctions and the plurality of road segments utilizing the vehicle telemetry data that is transformed into a geohashed encoding.

A method is provided in which a device associated with a vehicle generates and transmits probe data samples comprising positional data. The method comprises obtaining detected event sequence data indicative of a sequence of detected events relating to the vehicle, obtaining search pattern data indicative of a search pattern of events and using the search pattern data and at least a portion of the detected event sequence data to determine whether a pattern of detected events matching the obtained search pattern of events is present in the at least a portion of the sequence of detected events. When a pattern of detected events matching the obtained search pattern of events is found in the at least a portion of the sequence of detected events, the device generates a probe data sample comprising data indicative of one or both of the search pattern and the matched pattern of events, and data indicative of a position of the device associated with the matched pattern of events. The device transmits the generated probe data sample.

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.

An apparatus for collecting feature data includes a memory configured to store, for each of vehicles, a mileage of the vehicle or the amount of feature data transmitted by the vehicle and representing a feature related to travel of the vehicles; and one or more processors configured to set a transmission condition for permitting transmission of the feature data for each of the vehicles so that, of the vehicles, the transmission condition for a vehicle with a lower mileage or a vehicle having transmitted a smaller amount of the feature data is more relaxed, and notify each of the vehicles via a communication circuit of a collection instruction to instruct the vehicle to collect the feature data under the transmission condition set for the vehicle.

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.

A method, a device and a system for perceiving a multi-site roadbed network are provided. The method includes: constructing a global grid map of the roadbed network that is marked with a position of the system for perceiving at least two roadbed base stations and a perceived range of the system; receiving the detected target list transmitted by each of the systems for perceiving at least two roadbed base stations, where the detected target list is the set of the preset detected targets; according to the position of each system for perceiving the roadbed base station, indexing into the global grid map the detected target list transmitted by each system for perceiving the roadbed base station to generate a global tracking list; and tracking the preset detected target in the detected target list transmitted by the system for perceiving the roadbed base station according to the global tracking list.

A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with the host vehicle; identify a representation of a target object in the first output; and determine whether a characteristic of the target object triggers a navigational constraint. If the navigational constraint is not triggered, the processing device may verify the identification of the representation of the target object based on a combination of the first output and the second output. If the navigational constraint is triggered, the processing device may verify the identification of the representation of the target object based on the first output; and in response to the verification, cause at least one navigational change to the host vehicle.

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.

An embodiment system for updating high-definition maps for autonomous driving includes a vehicle electronic device configured to transmit determination result data of whether there is consistency with a high-definition map or analysis result data of a difference from the high-definition map, with respect to positioning data for a current location provided from a plurality of sensors according to a presence or an absence of policy information for a driving section and a server configured to provide the policy information and high-definition map data for the driving section to the vehicle electronic device, to determine whether an update is required based on the data received from the vehicle electronic device, and to update the high-definition map data based on the received positioning data.

A semi-public blockchain maintained on one or more nodes in a map cloud platform comprises data for maintaining a global map of a predetermined geographic area. The blockchain also comprises a plurality of data records, where each data record is associated with an update to a global map. When a message associated with a map update to the global map is received, the nodes of the blockchain determine a consensus by evaluating the map update, where the evaluating comprises performing a plurality of proofs including a proof of location, a proof of iterations, a proof of physical delivery and a proof of safety. When consensus is attained and the map update is validated, a data record associated with the map update is generated and added to the blockchain with a timestamp and a link to prior data records in the blockchain.