US 11,692,832 B2
Systems, methods, and computer programs for efficiently determining an order of driving destinations and for training a machine-learning model using distance-based input data
Jilei Tian, Chicago, IL (US); Yang Cao, Chicago, IL (US); and Sascha Hamzehi, Dachau (DE)
Assigned to Bayerische Motoren Werke Aktiengesellschaft, Munich (DE)
Filed by Bayerische Motoren Werke Aktiengesellschaft, Munich (DE)
Filed on Jul. 24, 2020, as Appl. No. 16/947,233.
Prior Publication US 2022/0026221 A1, Jan. 27, 2022
Int. Cl. G01C 21/34 (2006.01); G06N 20/00 (2019.01); G06F 18/21 (2023.01)
CPC G01C 21/343 (2013.01) [G01C 21/3446 (2013.01); G06F 18/217 (2023.01); G06N 20/00 (2019.01)] 15 Claims
OG exemplary drawing
 
1. A system for determining an order of a plurality of driving destinations, the system comprising one or more processors and one or more storage devices, wherein the system is configured to:
obtain information on a distance between the plurality of driving destinations, the distance being defined for a plurality of routes between the plurality of driving destinations, with the routes being defined separately in both directions between each combination of driving destinations of the plurality of driving destinations within the information on the distance;
provide the information on the distance between the plurality of driving destinations as input to a machine-learning model, the machine-learning model being trained to output information on an order of the plurality of routes based on the information on the distance provided at the input of the machine-learning model,
wherein the machine-learning model is trained to output information on a favorability of the plurality of routes based on the information on the distance provided at the input of the machine-learning model, the favorability relating to how beneficial the inclusion of a specific route is for the order of the plurality of driving destinations; and
determine the information on the order of the plurality of driving destinations based on the information on the order of the plurality of routes and the information on the favorability of the plurality of routes.