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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.

Patent No.:

US 11370422 B1

PDFFull Text
Date of Patent:
Jun. 28, 2022

Filed:

Feb. 10, 2016

Method and system in a vehicle for improving prediction results of an advantageous driver assistant system

Applicant:

Honda Research Institute Europe Gmbh, Offenbach/Main, DE;

Inventors:

Julian Eggert, Offenbach, DE;

Andreas Richter, Offenbach, DE;

Florian Damerow, Uelversheim, DE;

Assignee:

HONDA RESEARCH INSTITUTE EUROPE GMBH, Offenbach/Main, DE;

Attorney:

Squire Patton Boggs (US) LLP

Primary Examiner:

Peter D Nolan

Assistant Examiner:

Michael F Whalen

Int. Cl.
CPC ...
B60W 30/095 (2012.01); G01C 21/20 (2006.01); G01C 21/30 (2006.01); G01S 13/86 (2006.01); G01S 13/931 (2020.01); G06F 30/20 (2020.01); G06V 20/10 (2022.01); G06V 20/56 (2022.01); G06F 17/10 (2006.01); G08G 1/16 (2006.01); G01S 17/89 (2020.01); G01S 13/89 (2006.01);
U.S. Cl.
CPC ...
B60W 30/095 (2013.01); G01C 21/20 (2013.01); G01C 21/30 (2013.01); G01S 13/86 (2013.01); G01S 13/931 (2013.01); G06F 17/10 (2013.01); G06F 30/20 (2020.01); G06V 20/10 (2022.01); G06V 20/56 (2022.01); G08G 1/165 (2013.01); G08G 1/166 (2013.01); G01S 13/89 (2013.01); G01S 17/89 (2013.01); G01S 2013/932 (2020.01); G01S 2013/9322 (2020.01); G01S 2013/9323 (2020.01); G01S 2013/93271 (2020.01);
Abstract

A method for improving prediction results of advanced driver assistance systems of a vehicle includes obtaining map data including information about a road geometry in a proximity of the vehicle. A sensor means is assigned, sensing a surrounding of the vehicle. A virtual sensing means output is generated, corresponding to an output of the sensing means if the sensing means. The generation is based on a mathematical model of the sensing means. The surrounding of the vehicle is sensed, and a sensing means output is generated. The sensing means output is compared to the virtual sensing means output. Parameters of the mathematical model are modified, and the virtual sensing means output are generated and compared to the sensing means output. Map data is combined with information derived from the sensing means output to generate combined information, which is output for further processing.

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