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:
Apr. 04, 2023

Filed:

Dec. 21, 2020
Applicant:

Aptiv Technologies Limited, St. Michael, BB;

Inventors:

Syed Asif Imran, Moorpark, CA (US);

Jan K. Schiffmann, Newbury Park, CA (US);

Nianxia Cao, Oak Park, CA (US);

Assignee:

Aptiv Technologies Limited, St. Michael, BB;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); B60W 60/00 (2020.01); B60W 30/095 (2012.01); B60W 50/02 (2012.01); G01S 13/931 (2020.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 30/0956 (2013.01); B60W 50/0205 (2013.01); G01S 13/931 (2013.01); G06T 7/20 (2013.01); B60W 2420/40 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2420/54 (2013.01); B60W 2554/20 (2020.02); B60W 2554/4029 (2020.02); G06T 2207/10028 (2013.01); G06T 2207/10044 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/30252 (2013.01);
Abstract

This document describes Kurtosis based pruning for sensor-fusion systems. Kurtosis based pruning minimizes a total quantity of comparisons performed when fusing together large sets of data. Multiple candidate radar tracks may possibly align with one of multiple candidate visual tracks. For each candidate vision track, a weight or other evidence of matching is assigned to each candidate radar track. An inverse of matching errors between each candidate vision and each candidate radar track contributes to this evidence, which may be normalized to produce, for each candidate vision track, a distribution associated with all candidate radar tracks. A Kurtosis or shape of this distribution is calculated. Based on the Kurtosis values, some candidate radar tracks are selected for matching and other remaining candidate radar tracks are pruned. The Kurtosis aids in determining how many candidates to retain and how many to prune. In this way, Kurtosis based pruning can prevent combinatorial explosions due to large-scale matching.


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