Optimizing data transmission in location-aware systems
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.
1 . A method comprising:
determining a set of attributes associated with a set of data uploaded using a set of location-aware systems in a geographic region;
computing a set of upload control parameters for the geographic region based at least on the set of attributes;
receiving, from a location-aware system, a request indicating the geographic region; and
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.
2 . The method of claim 1 , further comprising:
determining a second set of attributes associated with a second set of data uploaded using a second set of location-aware systems in a second geographic region;
generating a second set of upload control parameters for the second geographic region based at least on the second set of attributes; and
sending the second set of upload control parameters within the one or more control layers in response to a second request indicating the second geographic region.
3 . The method of claim 1 , further comprising sending a schema associated with the set of upload control parameters to the location-aware system.
4 . The method of claim 1 , wherein the computing the set of upload control parameters comprises:
determining a set of data upload requirements associated with the geographic region; and
generating the set of upload control parameters based at least on a comparison of the set of attributes and the set of data upload requirements.
5 . The method of claim 4 , wherein the determining the set of data upload requirements comprises:
matching the geographic region to one or more data collection campaigns; and
aggregating the set of data upload requirements from the one or more data collection campaigns.
6 . The method of claim 5 , wherein the one or more data collection campaigns comprise a time period over which data is to be collected from the geographic region.
7 . The method of claim 1 , wherein the set of attributes comprises at least one of a number of uploads, a size of the set of data, one or more types of data included in the set of data, or one or more characteristics of the set of data.
8 . The method of claim 1 , wherein the set of upload control parameters comprises at least one of a probability of upload, a type of data to upload, an amount of data to upload, a set of conditions that trigger a data upload, or a set of conditions that trigger disabling of a data upload.
9 . The method of claim 1 , wherein the geographic region is indicated in the request using at least one of a set of coordinates, a map tile, a zoom level associated with a map tile, a point on a curve, a cell in a grid, or a geofence.
10 . The method of claim 1 , wherein the set of location-aware systems comprises 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 one or more simulation operations;
a system for performing one or more digital twin operations;
a system for performing light transport simulation;
a system for performing collaborative content creation for 3D assets;
a system for performing one or more deep learning operations;
a system implemented using an edge device;
a system for generating or presenting at least one of virtual reality content, augmented reality content, or mixed reality content;
a system implemented using a robot;
a system for performing one or more conversational AI operations;
a system for performing one or more generative AI operations;
a system implementing one or more large language models (LLMs);
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.
11 . One or more processors comprising:
one or more circuits to perform operations comprising:
determining a set of attributes associated with a set of data uploaded using a set of location-aware systems in a geographic region;
computing a set of upload control parameters for the geographic region based at least on the set of attributes;
receiving, from a location-aware system, a request indicating the geographic region; and
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.
12 . The one or more processors of claim 11 , wherein the operations further comprise:
determining a second set of attributes associated with a second set of data uploaded using a second set of location-aware systems in a second geographic region;
generating a second set of upload control parameters for the second geographic region based at least on the second set of attributes; and
sending the second set of upload control parameters within the one or more control layers in response to a second request indicating the second geographic region.
13 . The one or more processors of claim 11 , wherein the operations further comprise sending a schema associated with the one or more control layers to the location-aware system.
14 . The one or more processors of claim 11 , wherein the one or more control layers comprise a first control layer that includes a first subset of the set of upload control parameters and a second control layer that includes a second subset of the set of upload control parameters.
15 . The one or more processors of claim 11 , wherein the computing the set of upload control parameters comprises computing a probability of upload included in the set of upload control parameters based at least on a comparison of a number of data uploads associated with the set of data and a number of requested uploads associated with the geographic region.
16 . The one or more processors of claim 11 , wherein the set of data comprises at least one of sensor data, log data, telemetry data, simulated data, or development data.
17 . The one or more processors of claim 11 , wherein the set of upload control parameters is computed based at least on at least one of receiving one or more new uploads associated with the geographic region or a frequency associated with updating the set of upload control parameters.
18 . The one or more processors of claim 11 , wherein the one or more processors 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 one or more simulation operations;
a system for performing one or more digital twin operations;
a system for performing light transport simulation;
a system for performing collaborative content creation for 3D assets;
a system for performing one or more deep learning operations;
a system implemented using an edge device;
a system for generating or presenting at least one of virtual reality content, augmented reality content, or mixed reality content;
a system implemented using a robot;
a system for performing one or more conversational AI operations;
a system for performing one or more generative AI operations;
a system implementing one or more large language models (LLMs);
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.
19 . A system comprising:
one or more processors to perform operations comprising:
computing a set of upload control parameters for a geographic region based at least on a set of attributes associated with a set of data uploaded using a set of location-aware systems in a geographic region;
sending, to a location-aware system and in response to a request indicating the geographic region from the location-aware system, 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.
20 . The system of claim 19 , 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 one or more simulation operations;
a system for performing one or more digital twin operations;
a system for performing light transport simulation;
a system for performing collaborative content creation for 3D assets;
a system for performing one or more deep learning operations;
a system implemented using an edge device;
a system for generating or presenting at least one of virtual reality content, augmented reality content, or mixed reality content;
a system implemented using a robot;
a system for performing one or more conversational AI operations;
a system for performing one or more generative AI operations;
a system implementing one or more large language models (LLMs);
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.