US 11,683,831 B2
Systems and methods for providing resource analysis for autonomous mobility on demand
Anand Ramesh, Campbell, CA (US); Ioannis Petousis, Campbell, CA (US); Owen Davis, Campbell, CA (US); and Christopher Heiser, Campbell, CA (US)
Assigned to Woven Planet North America, Inc., Los Altos, CA (US)
Filed by Woven Planet North America, Inc., Los Altos, CA (US)
Filed on Dec. 3, 2018, as Appl. No. 16/208,418.
Claims priority of provisional application 62/593,805, filed on Dec. 1, 2017.
Claims priority of provisional application 62/734,482, filed on Sep. 21, 2018.
Prior Publication US 2019/0174514 A1, Jun. 6, 2019
Int. Cl. G06F 9/50 (2006.01); H04W 72/566 (2023.01); H04W 4/40 (2018.01); G06Q 10/02 (2012.01); G06Q 50/30 (2012.01); H04W 4/021 (2018.01); H04W 4/02 (2018.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G08G 1/00 (2006.01)
CPC H04W 72/569 (2023.01) [G05D 1/0088 (2013.01); G05D 1/0291 (2013.01); G06F 9/5066 (2013.01); G06F 9/5072 (2013.01); G06Q 10/02 (2013.01); G06Q 50/30 (2013.01); G08G 1/202 (2013.01); H04W 4/021 (2013.01); H04W 4/027 (2013.01); H04W 4/40 (2018.02); G05D 2201/0213 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for vehicle resource analysis, the method comprising:
receiving a resource analysis request about deploying resources within a network including one or more constraints related to resources of one or more vehicles;
generating a prioritization schedule based on the constraints that defines an order for transferring sensor data acquired by the one or more vehicles to a local content absorption node within the network, wherein the constraints include how to offload the sensor data and perform one or more tasks in relation to the sensor data;
executing a deployment simulation to generate resource analysis results by:
simulating i) deployment of the one or more vehicles to collect data within a geographic area of the network based on the prioritization schedule and ii) processing of the collected data based on the prioritization schedule to generate the analysis results as an indication about a use of computational resources, estimates of processing times, routes for the one or more vehicles, and expenses associate with tasks; and
transmitting the resource analysis results to one more devices associated with the resource analysis request.