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:
Sep. 30, 2025

Filed:

Jan. 09, 2024
Applicant:

Torc Robotics, Inc., Blacksburg, VA (US);

Inventors:

Joseph R. Fox-Rabinovitz, Blacksburg, VA (US);

Armenio Rivero, Blacksburg, VA (US);

Akshay Pai Raikar, Blacksburg, VA (US);

William Davis, Blacksburg, VA (US);

Pablo Smith, Blacksburg, VA (US);

Walter Grigg, Blacksburg, VA (US);

Assignee:

Torc Robotics, Inc., Blacksburg, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60Q 1/00 (2006.01); B60T 8/17 (2006.01); B60T 8/18 (2006.01); B60W 10/08 (2006.01); G01G 19/03 (2006.01); G01M 1/12 (2006.01); G08B 21/24 (2006.01);
U.S. Cl.
CPC ...
G08B 21/24 (2013.01); B60T 8/1708 (2013.01); B60T 8/18 (2013.01); B60W 10/08 (2013.01); G01G 19/03 (2013.01); G01M 1/122 (2013.01); B60T 2250/02 (2013.01);
Abstract

A method for detecting and reporting cargo lost from an autonomous vehicle. The method includes receiving, from a plurality of sensors, at least one sensor signal representing one or more measurements of the vehicle, determining a mass of the vehicle based on the one or more measurements, estimating a center of mass along a longitudinal axis of the vehicle based on the one or more measurements and the mass, and receiving, from the plurality of sensors, at least one sensor signal representing one or more cargo loss-related conditions. The method also includes identifying one or more cargo loss-indicative conditions based on the center of mass estimation and the one or more cargo loss-related conditions, generating a lost cargo detection signal based on at least one of the one or more cargo loss-indicative conditions and a location of the vehicle, and transmitting the lost cargo detection signal to an external receiver.


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