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:
Jun. 30, 2020

Filed:

Dec. 07, 2018
Applicant:

Volvo Car Corporation, Göteborg, SE;

Inventors:

Anders Movert, Göteborg, SE;

Nasser Mohammadiha, Göteborg, SE;

Assignee:

Volvo Car Corporation, Göteborg, SE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01); B60W 50/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); B60W 30/095 (2012.01); F02D 41/14 (2006.01); B60W 30/10 (2006.01); G06F 16/29 (2019.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); B60W 30/095 (2013.01); B60W 30/0953 (2013.01); B60W 30/0956 (2013.01); B60W 30/10 (2013.01); B60W 50/0097 (2013.01); F02D 41/1405 (2013.01); G06F 16/29 (2019.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 3/088 (2013.01); B60W 2050/0089 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2520/10 (2013.01); B60W 2520/14 (2013.01); B60W 2552/00 (2020.02); B60W 2554/00 (2020.02); B60W 2900/00 (2013.01); F02D 2200/701 (2013.01); F02D 2200/702 (2013.01);
Abstract

A method and a system for predicting a near future path and an associated output control signal for a vehicle. Prediction sensor data, vehicle driving data, and road data are collected. An input control signal indicative of an intended driving action is received. The sensor data and the vehicle driving data are pre-processed to provide a set of object data comprising a time series of previous positions of a respective object relative the vehicle, a time series of the previous headings of the object, and a time series of previous velocities of the object. The object data, the road data, the vehicle driving data, the control signal, and the sensor data are processed in a deep neural network. Based on the processing in the deep neural network, a predicted path output and an output control signal are provided.


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