The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 05, 2024

Filed:

Dec. 07, 2018
Applicant:

Volvo Car Corporation, Gothenburg, SE;

Inventors:

Anders Movert, Gothenburg, SE;

Anders Ödblom, Bohus-Björkö, SE;

Andrew Backhouse, Gothenburg, SE;

Nasser Mohammadiha, Gothenburg, SE;

Peter Hardå, Torslanda, SE;

Assignee:

VOLVO CAR CORPORATION, Gothenburg, SE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); B60W 50/00 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 3/02 (2006.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
B60W 30/0953 (2013.01); B60W 30/095 (2013.01); B60W 30/0956 (2013.01); B60W 50/0097 (2013.01); G05D 1/0212 (2013.01); G06N 3/02 (2013.01); G06N 5/022 (2013.01); B60W 2050/0075 (2013.01); B60W 2420/403 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2520/10 (2013.01); B60W 2520/14 (2013.01); B60W 2552/53 (2020.02); B60W 2554/00 (2020.02); B60W 2554/20 (2020.02); B60W 2554/4029 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/802 (2020.02); B60W 2554/804 (2020.02); B60W 2554/806 (2020.02); B60W 2556/10 (2020.02); G05D 1/0248 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G05D 2201/0213 (2013.01);
Abstract

A method and system for predicting a near future path for a vehicle. For predicting the near future path sensor data and vehicle driving data is collected. Road data is collected indicative of a roadway on the presently occupied road for the vehicle. The sensor data and the vehicle driving data is pre-processed to provide object data comprising a time series of previous positions, headings, and velocities of each of the objects relative the vehicle. The object data, the vehicle driving data, and the road data is processed in a deep neural network to predict the near future path for the vehicle. The invention also relates to a vehicle comprising the system.


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