Systems, methods, and computer-readable media are disclosed for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The first information is converted from the first format into an agnostic format. An image, video, or real-time feed of an environment of the smart infrastructure device is captured. The first vehicle and a second vehicle in the image, video, or real-time feed is identified. It is determined that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device based on the image, video, or real-time feed. The image, video, or real-time feed is analyzed to generate second information associated with the second vehicle. The second information is converted into the agnostic format.

A method includes accessing map data of an area of a real environment, the map data comprising three-dimensional feature descriptors describing features visible in the real environment. A plurality of map packages are generated based on the map data, wherein each of the map packages (1) corresponds to a two-dimensional sub-area within the area of the real environment, and (2) comprises a subset of the three-dimensional feature descriptors describing features visible in the sub-area. A first sequence of the plurality of map packages are broadcast through one or more base stations, wherein the first sequence is based on the two-dimensional sub-area of each of the map packages, wherein each of the map packages is configured to be received and used by an artificial-reality device to determine a pose of the artificial-reality device in the associated sub-area based on the associated subset of the three-dimensional feature descriptors.

Embodiments of this application provide a map data collection method and apparatus, and a system, to report map data in a targeted manner. The method includes: receiving a first instruction from a network side device, where the first instruction instructs a map data reporting manner to a first vehicle, the first instruction includes confidence information, and the confidence information indicates confidence that map data reported by the first vehicle; and sending the map data to the network side device in the map data reporting manner instructed by the first instruction, where confidence of the map data is not lower than the confidence indicated by the confidence information.

In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

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.

Vehicle-to-everything (V2X) message-based vehicle tracking is provided. Connected messages including position, dimension, and heading of remote vehicles are received from the remote vehicles and collected by a host vehicle. A route of the host vehicle is used to filter the remote vehicles to those within an interest neighborhood of the host vehicle. A map is displayed, to an HMI screen of the host vehicle, including the route of the host vehicle and an overlay of the remote vehicles as filtered.

A route provision apparatus for providing a route to a vehicle including a transceiver; a sensor interface configured to receive sensing information from one or more sensors; and a processor configured to identify a lane of the vehicle, estimate, using map information received from a navigation system and not from the server based on a communication state with the server satisfying a preset condition, an optimal route for the vehicle in lane units, generate autonomous driving visibility information by fusing the sensing information with the optimal route, and fuse dynamic information related to a movable object with the autonomous driving visibility information to update the optimal path based on the dynamic information, and wherein the sensing information is fused with the map information to generate a Simultaneous Localization and Mapping (SLAM) map.

A map management system includes: at least one cloud server including a first processor configured to manage map data for a preset area; a plurality of edge servers, each edge server including a second processor configured to manage map data for a preset area; at least one vehicle including a third processor configured to collect raw data for updating map data during traveling; and a plurality of blockchains including the at least one cloud server and the plurality of edge servers.

The present disclosure relates to a method and a system for constructing an electronic horizon. The method includes: sending, by at least one roadside unit, its corresponding location information and direction information to a data processing center as road information; constructing, by the data processing center, forward electronic horizon data according to received road information, set search distance and electronic map data; and sending to the roadside unit; receiving and storing, by the roadside unit, the forward electronic horizon data sent by the data processing center; sending, by an on-board unit, a data acquisition request to the roadside unit; sending, by the roadside unit, the forward electronic horizon data corresponding to the direction information in the data acquisition request to the on-board unit; constructing, by the on-board unit, a forward electronic horizon representation according to received forward electronic horizon data. The present disclosure completely avoids using the on-board electronic map in the vehicle's electronic control unit to execute complex search algorithms in the process of constructing the forward electronic horizon representation, and has the advantages of low cost, easy use and high real-time performance.

A map update data processing apparatus and method are provided. The method includes: obtaining first information from at least one vehicle terminal in a time window; determining, based on the first information and second information in a map, first change information of the second information and precision information and/or confidence information of the first change information, wherein the first change information indicates a difference between the first information and the second information; and finally, sending the first change information of the second information and the precision information and/or the confidence information to a first vehicle terminal.