Air drag of a vehicle
AssigneeVolvo Truck Corporation
InventorsRobin Karlsson, Hampus Ek
Life of this patent
Estimating the term…
Abstract
A computer system comprising a processor device configured to obtain at least one image of a vehicle, wherein the at least one image comprises at least one air drag affecting portion of the vehicle affecting the air drag of the vehicle, estimate an air drag of the vehicle comprising the at least one air drag affecting portion using a machine learning algorithm, identify the at least one air drag affecting portion in the at least one image, and to estimate an impact that the at least one air drag affecting portion has on the vehicle's air drag and energy consumption.
Claims12
A non-transitory computer system comprising a processor device configured to:
- obtain at least one image of a vehicle, wherein the at least one image comprises at least one air drag affecting portion of the vehicle affecting air drag of the vehicle;
- estimate the air drag of the vehicle comprising the at least one air drag affecting portion using a first machine learning algorithm and a second machine learning algorithm;
- wherein the first machine learning algorithm is arranged to, based on the at least one image of the vehicle, classify the vehicle in at least one vehicle class in an air drag resistance database;
- wherein the second machine learning algorithm is arranged to:
- based on the at least one image of the vehicle, classify the at least one air drag affecting portion in the air drag resistance database, wherein the air drag resistance database comprises air drag resistance data;
- and
- enhance the air drag resistance data from the air drag resistance database by combing the air drag resistance data together with the at least one image of the vehicle returning an air resistance for a combination of vehicle and air drag affecting portions;
- and
- identify the at least one air drag affecting portion in the at least one image;
- and
- estimate an impact the at least one air drag affecting portion has on the air drag and energy consumption of the vehicle, wherein the impact is estimated by using the enhanced air drag resistance data as input.
A computer-implemented method, comprising:
- obtaining, by a processor device of a computer system, at least one image of a vehicle, wherein the at least one image comprises at least one air drag affecting portion of the vehicle affecting air drag of the vehicle;
- estimating, by the processor device, the air drag of the vehicle comprising the at least one air drag affecting portion using a first machine learning algorithm and a second machine learning algorithm;
- wherein the first machine learning algorithm is arranged to, based on the at least one image of the vehicle, classify the vehicle in at least one vehicle class in an air drag resistance database;
- wherein the second machine learning algorithm is arranged to:
- based on the at least one image of the vehicle, classify the at least one air drag affecting portion in the air drag resistance database, wherein the air drag resistance database comprising air drag resistance data;
- and
- enhance the air drag resistance data from the air drag resistance database by combing the air drag resistance data together with the at least one image of the vehicle returning an air resistance for a combination of vehicle and air drag affecting portions;
- identifying, by the processor device, the at least one air drag affecting portion in the at least one image;
- and
- estimating, by the processor device, an impact the at least one air drag affecting portion has on the air drag and energy consumption of the vehicle, wherein the impact is estimated by using the enhanced air drag resistance data as input.
Dependencies are inferred from the claim text.