Nvidia Corporation

Matthew Ashman

Vaibhav Thukral

Galen Collins

Russell Chreptyk

Derik Schroeter

Vladimir Shestak

Akash Chandra Shekar

Andy Campbell

Michael Stanton Kron

Tharun Battula

In various examples, a technique for managing data uploads from location-aware systems includes determining a set of attributes associated with a set of data uploaded using a set of location-aware systems in a geographic region. The technique also includes computing a set of upload control parameters for the geographic region based at least on the set of attributes. The technique further includes receiving, from a location-aware system, a request indicating the geographic region. The technique additionally includes sending, to the location-aware system in response to the request, the set of upload control parameters within one or more control layers included in map data for the geographic region, wherein the location-aware system controls upload of additional data associated with the geographic region based at least on the one or more control layers.

Optimizing data transmission in location-aware systems

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.

High definition (HD) map content representation and distribution for autonomous vehicles

Embodiments of the present disclosure relate to encoding of junction area information in map data. In particular, the encoding may include organizing vehicle paths that traverse through a junction area according to path groups and organizing contentions that influence behavior of vehicles traveling along the vehicle paths according to contention groups. In addition, the encoding may include generating direction data structures that associate respective path groups with one or more of the contention groups. In these or other embodiments, the map data that corresponds to the junction area may be updated with direction data structures.

Encoding junction information in map data

In various examples, a method includes computing a current keyframe, the current keyframe being representative of an area around an autonomous vehicle at a current time based on map data. The method includes transforming a preceding keyframe to a coordinate frame of the autonomous vehicle at a first time prior to completing computation of the current keyframe to generate a first world model frame. The method includes transforming the preceding keyframe to the coordinate frame of the autonomous vehicle at a second time after the first time and prior to completing computation of the current keyframe to generate a second world model frame.

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Redmond, WA, United States of America

Matthew Ashman