Einzeltreffer — DigiBib

In various examples, a network of servers, such as a content delivery network, is used to provide a lightweight approach to hosting and serving HD map data to vehicles. The lightweight approach may allow for modifying various map components, such as tiles, layers, and/or segments. Modifying may include adding, removing, and/or updating the various components. A request to modify a first version of a High definition (HD) map may be received. Map data may be recorded that represents a second version of the HD map. A second request associated with the HD map may be received from a vehicle. Based on this second request, second map data representative of at least a portion of a layer may be identified on at least one server of the network of servers. The second map data may then be transmitted to the vehicle by the network of servers.

Titel:	HIGH DEFINITION (HD) MAP CONTENT REPRESENTATION AND DISTRIBUTION FOR AUTONOMOUS VEHICLES
Link:	Zum Volltext
Veröffentlichung:	2023
Medientyp:	Patent
Sonstiges:	Nachgewiesen in: USPTO Patent Applications Sprachen: English Document Number: 20230258472 Publication Date: August 17, 2023 Appl. No: 17/670294 Application Filed: February 11, 2022 Claim: 1. A computer implemented method comprising: generating a first version of a high definition (HD) map including nodes encoding map content, each node of the nodes corresponding to a respective geographic region of geographic regions of an environment encoded by the first version of the HD map, the first version of the HD map including a new node corresponding to at least one of: a modification to at least one of a same tile or a same layer with respect to an existing node corresponding to a second version of the HD map; or at least one of a new tile or a new layer with respect to the second version of the HD map; and transmitting at least a portion of the map content encoded using one or more of the nodes to a machine. Claim: 2. The computer implemented method of claim 1, wherein the transmitting of the at least the portion of the map content is performed using a content delivery network. Claim: 3. The computer implemented method of claim 1, wherein the generating of the first version of the HD map is responsive to a request to add the at least one of the new tile or the new layer with respect to the second version of the HD map. Claim: 4. The computer implemented method of claim 1, wherein the generating of the first version of the HD map is responsive to a request to modify the at least one of the same tile or the same layer with respect to the existing node corresponding to the second version of the HD map. Claim: 5. The computer implemented method of claim 1, wherein at least one of the first version of the HD map or the second version of the HD map is immutable on a network of servers. Claim: 6. The computer implemented method of claim 1, wherein a first node of the nodes represents a first layer that groups a first set of segments of the map content in association with a geographical region and wherein a second node of the set of nodes represents a second layer that groups a second set of segments of the map content in association with the geographical region. Claim: 7. The computer implemented method of claim 1, wherein a first node of the nodes represents a first layer of a first type of sensor data in association with a geographical region and a second node of the nodes represents a second layer of a second type of sensor data in association with the geographical region. Claim: 8. The computer implemented method of claim 1, wherein the new node corresponds to at least the modification to the same layer, and the same layer comprises one or more of: lane boundary information; lane marking information; traffic sign information; RADAR localization information; LiDAR localization information; or road segment information. Claim: 9. The computer implemented method of claim 1, wherein the generating the first version of the HP map includes creating one or more entries in a changelog, the one or more entries defining the first version of the HD map using sequences of changes to the second version of the map, wherein the at least the portion of the map content is identified for the transmitting from a snapshot of the changelog. Claim: 10. The computer implemented method of claim 1, wherein the transmitting is responsive to a request including a uniform resource identifier (URI) corresponding to the one or more nodes, and a network of servers retrieves the at least the portion of the map content for the transmitting using the URI. Claim: 11. The computer implemented method of claim 1, wherein the transmitting is to an autonomous machine, and the autonomous machine performs one or more control operations using the at least the portion of the map content. Claim: 12. A system comprising: one or more processing units to execute operations comprising: receiving a request to modify a first version of a high definition (HD) map, the first version of the HD map being defined by a connected graph of nodes stored on a network of servers, the nodes encoding one or more layers of map content in association with one or more locations of the HD map; based at least on the request, creating one or more entries in a changelog, the one or more entries encoding a second version of the HD map using at least one change to the connected graph of nodes of the first version of the HD map; identifying on at least one server of the network of servers, data representative of at least a portion of a layer of the one or more layers using the changelog; and transmitting, using the network of servers, the data representative of the at least the portion of the layer to the client device. Claim: 13. The system of claim 12, wherein the transmitting of the data is performed using a content delivery network. Claim: 14. The system of claim 12, wherein the request is to add at least one node to the first connected graph and the creating of the one or more entries adds the at least one node to the nodes stored on the network of servers. Claim: 15. The system of claim 12, wherein a first node of the nodes represents a first layer grouping a first set of segments of the map content in association with a geographical region and a second node of the nodes represents a second layer grouping a second set of segments of the map content in association with the geographical region. Claim: 16. The system of claim 12, wherein the layers comprise one or more of: lane boundary information; lane marking information; traffic sign information; RADAR localization information; LiDAR localization information; or road segment information. Claim: 17. The system of claim 12, wherein the system is comprised in at least one of: a control system for an autonomous or semi-autonomous machine; a perception system for an autonomous or semi-autonomous machine; a system for performing simulation operations; a system for performing light transport simulation; a system for performing collaborative content creation for 3D assets; a system for performing deep learning operations; a system implemented using an edge device; a system implemented using a robot; a system for performing conversational AI operations; a system for generating synthetic data; a system incorporating one or more virtual machines (VMs); a system implemented at least partially in a data center; or a system implemented at least partially using cloud computing resources. Claim: 18. A processor comprising: one or more circuits to: generate one or more versions of one or more high definition (HD) maps defined by one or more connected graphs of one or more nodes based at least on one or more requested modifications to the one or more maps, the one or more nodes encoding one or more layers of map content in association with one or more locations in the one or more maps, and provide the one or more layers of map content to one or more client devices. Claim: 19. The processor of claim 17, wherein the one or more layers are served to the one or more client devices based at least on one or more uniform resource locators (URIs) received from the one or more client devices and corresponding to the layers. Claim: 20. The processor of claim 17, wherein the layers are served using a content delivery network of a network of servers. Claim: 21. The processor of claim 17, wherein the processor is comprised in at least one of: a control system for an autonomous or semi-autonomous machine; a perception system for an autonomous or semi-autonomous machine; a system for performing simulation operations; a system for performing light transport simulation; a system for performing collaborative content creation for 3D assets; a system for performing deep learning operations; a system implemented using an edge device; a system implemented using a robot; a system for performing conversational AI operations; a system for generating synthetic data; a system incorporating one or more virtual machines (VMs); a system implemented at least partially in a data center; or a system implemented at least partially using cloud computing resources. Current International Class: 01; 60; 04

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HIGH DEFINITION (HD) MAP CONTENT REPRESENTATION AND DISTRIBUTION FOR AUTONOMOUS VEHICLES