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:
Jul. 15, 2025

Filed:

Dec. 23, 2021
Applicant:

Aptiv Technologies Ag, Schaffhausen, CH;

Inventor:

Bin Jia, Columbia, MD (US);

Assignee:

Aptiv Technologies AG, Schaffhausen, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); B60W 30/12 (2020.01); B60W 40/06 (2012.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01); G01S 13/66 (2006.01); G01S 13/86 (2006.01); G06F 17/18 (2006.01); G06F 18/20 (2023.01); G06F 18/22 (2023.01); G06F 18/25 (2023.01); G06F 18/27 (2023.01); G06V 10/62 (2022.01); G06V 10/766 (2022.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); B60W 30/12 (2013.01); B60W 40/06 (2013.01); B60W 50/00 (2013.01); G01S 13/66 (2013.01); G01S 13/86 (2013.01); G06F 17/18 (2013.01); G06F 18/22 (2023.01); G06F 18/253 (2023.01); G06F 18/27 (2023.01); G06F 18/29 (2023.01); G06V 10/62 (2022.01); G06V 10/766 (2022.01); G06V 10/806 (2022.01); B60W 2050/0028 (2013.01); B60W 2050/0043 (2013.01); B60W 60/001 (2020.02); B60W 2552/00 (2020.02); B60W 2556/45 (2020.02); B60W 2754/20 (2020.02); B60W 2754/30 (2020.02); G06V 20/588 (2022.01);
Abstract

This document describes road modeling with ensemble Gaussian processes. A road is modeled at a first time using at least one Gaussian process regression (GPR). A kernel function is determined based on a sample set of detections received from one or more vehicle systems. Based on the kernel function, a respective mean lateral position associated with a particular longitudinal position is determined for each GPR of the at least one GPR. The respective mean lateral position for each of the at least one GPR is aggregated to determine a combined lateral position associated with the particular longitudinal position. A road model is then output including the combined lateral position associated with the particular longitudinal position. In this way, a robust and computationally efficient road model may be determined to aid in vehicle safety and performance.


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