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.:
Date of Patent:
Jun. 08, 2021
Filed:
Dec. 31, 2019
Applicant:
Cartica Ai Ltd, Tel Aviv, IL;
Inventors:
Igal Raichelgauz, Tel Aviv, IL;
Karina Odinaev, Tel Aviv, IL;
Assignee:
CARTICA AI LTD., Tel Aviv, IL;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G05D 1/00 (2006.01); G08G 1/048 (2006.01); B60W 40/06 (2012.01); B60W 30/095 (2012.01); B60W 50/14 (2020.01); G06N 20/00 (2019.01); G06K 9/62 (2006.01); G08G 1/0962 (2006.01); G08G 1/16 (2006.01); B60W 60/00 (2020.01); B60W 40/08 (2012.01); G05D 1/02 (2020.01); B60W 40/02 (2006.01); H04W 4/46 (2018.01); B60W 30/09 (2012.01); G05B 13/02 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G07C 5/02 (2006.01); G08G 1/056 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0061 (2013.01); B60W 30/09 (2013.01); B60W 30/0956 (2013.01); B60W 40/02 (2013.01); B60W 40/06 (2013.01); B60W 40/08 (2013.01); B60W 50/14 (2013.01); B60W 60/0011 (2020.02); B60W 60/0016 (2020.02); B60W 60/0017 (2020.02); B60W 60/0025 (2020.02); B60W 60/0051 (2020.02); G05B 13/029 (2013.01); G05D 1/0044 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0293 (2013.01); G06K 9/00791 (2013.01); G06K 9/00805 (2013.01); G06K 9/00825 (2013.01); G06K 9/00845 (2013.01); G06K 9/6201 (2013.01); G06K 9/628 (2013.01); G06K 9/6218 (2013.01); G06K 9/6223 (2013.01); G06N 3/0427 (2013.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G07C 5/02 (2013.01); G08G 1/048 (2013.01); G08G 1/056 (2013.01); G08G 1/09626 (2013.01); G08G 1/162 (2013.01); G08G 1/165 (2013.01); G08G 1/166 (2013.01); H04W 4/46 (2018.02); B60W 2040/0872 (2013.01); B60W 2540/10 (2013.01); B60W 2540/12 (2013.01); B60W 2540/18 (2013.01); B60W 2554/00 (2020.02); B60W 2554/4023 (2020.02); B60W 2554/4046 (2020.02); B60W 2556/65 (2020.02); G05D 2201/0213 (2013.01); G06K 2009/6213 (2013.01); G06T 2207/30261 (2013.01);
Abstract
A method for detecting fallen cargo, the method may include receiving by a computerized system, sensed information related to driving sessions of multiple vehicles; applying a machine learning process on the sensed information to detect fallen cargo and to classify the fallen cargo to fallen cargo classes; estimating, from the sensed information, an impact of at least some of the fallen cargo classes on a behavior of at least some of the multiple vehicles; and determining, based on the impact, at least one suggested vehicle behavior as a response to a detection of at least some of the fallen cargo classes.