Systems and methods for detecting cargo lost from an autonomous vehicle

Patent metadata

Field	Value
Publication number	US-12431003-B2
Application number	US-202418408360-A
Country	US
Kind code	B2
Filing date	Jan 9, 2024
Priority date	Jan 9, 2024
Publication date	Sep 30, 2025
Grant date	Sep 30, 2025

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.

First claim

The invention claimed is:

1. A system for detecting and reporting cargo lost from an autonomous vehicle, the autonomous vehicle being oriented along a longitudinal axis and comprising a cab, a trailer connectable to the cab, a front wheel set supporting the cab, and a back wheel set supporting the trailer, the system comprising:
a cargo loss detection system comprising a plurality of sensors;
a drive system configured to move the autonomous vehicle; and
an autonomy system, the autonomy system including a processor and a memory device, the memory device storing instructions that when executed by the processor cause the processor to:
receive, from the plurality of sensors, at least one sensor signal representing one or more measurements of the autonomous vehicle;
determine a mass of the autonomous vehicle based on the one or more measurements;
estimate a center of mass along the longitudinal axis of the autonomous vehicle based on the one or more measurements and the mass;
receive, from the plurality of sensors, at least one sensor signal representing one or more cargo loss-related conditions;
identify one or more cargo loss-indicative conditions based on the center of mass estimation and the one or more cargo loss-related conditions;
generate a lost cargo detection signal based on at least one of the one or more cargo loss-indicative conditions and a location of the autonomous vehicle; and
transmit the lost cargo detection signal to an external receiver.

2. The system of claim 1 , wherein the one or more measurements comprise at least one of a total vehicle weight of the autonomous vehicle, a trailer weight of the trailer of the autonomous vehicle, and a wheel distance between the front and back wheel sets of the autonomous vehicle.

3. The system of claim 2 , wherein the trailer weight is measured at a connection point between the cab and the trailer of the autonomous vehicle.

4. The system of claim 1 , wherein the one or more cargo loss-related conditions comprise at least one of a longitudinal shift in the center of mass estimation, a drive system torque threshold, and a trailer weight threshold.

5. The system of claim 1 , wherein the plurality of sensors comprise at least one of a camera and a LiDAR sensor configured for visual detection of the one or more cargo loss-indicative conditions, the one or more cargo loss-indicative conditions comprising at least one of an object detection threshold and a light amount.

6. The system of claim 5 , wherein the at least one of the camera and the LiDAR sensor is oriented outwards from a back exterior surface of the trailer of the autonomous vehicle.

7. The system of claim 1 , wherein the processor is further caused to identify an engine driveshaft impedance condition based on a constant increase in the mass of the vehicle.

8. The system of claim 1 , wherein the processor is further caused to control the drive system to move the autonomous vehicle into a hazard-response position.

9. The system of claim 8 , wherein the hazard-response position comprises the autonomous vehicle being stopped in or proximate to one of a road shoulder and a right-most road lane.

10. A method for detecting and reporting cargo lost from an autonomous vehicle, the method comprising:
receiving, from a plurality of sensors, at least one sensor signal representing one or more measurements of the autonomous vehicle;
determining a mass of the autonomous vehicle based on the one or more measurements;
estimating a center of mass along a longitudinal axis of the autonomous vehicle based on the one or more measurements and the mass;
receiving, from the plurality of sensors, at least one sensor signal representing one or more cargo loss-related conditions;
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 autonomous vehicle; and
transmitting the lost cargo detection signal to an external receiver.

11. The method of claim 10 , wherein receiving the at least one sensor signal representing one or more measurements comprises receiving at a sensor signal representing at least one of a total vehicle weight of the autonomous vehicle, a trailer weight of a trailer of the autonomous vehicle, and a wheel distance between front and back wheel sets of the autonomous vehicle.

12. The method of claim 11 , wherein receiving the sensor signal representing the trailer weight of the trailer is measured at a connection point between a cab and the trailer of the autonomous vehicle.

13. The method of claim 10 , wherein receiving the at least one sensor signal representing one or more cargo loss-related conditions comprises receiving a sensor signal representing at least one of a longitudinal shift in the center of mass estimation, a drive system torque threshold, and a trailer weight threshold.

14. The method of claim 10 , wherein the at least one sensor signal representing one or more cargo loss-related conditions is received by a camera configured for visual detection of the one or more cargo loss-indicative conditions, the one or more cargo loss-indicative conditions comprising at least one of an object detection threshold and a light amount.

15. The method of claim 14 , wherein receiving the at least one sensor signal representing one or more cargo loss-related conditions comprises receiving the at least one sensor signal by a camera oriented outwards from a back exterior surface of a trailer of the autonomous vehicle.

16. The method of claim 10 , further comprising controlling a drive system to move the autonomous vehicle into a hazard-response position.

17. The method of claim 16 , wherein controlling the drive system to move the autonomous vehicle into the hazard-response position comprises stopping the autonomous vehicle stopped in or proximate to one of a road shoulder and a right-most road lane.

18. An autonomy system for detecting and reporting cargo lost from an autonomous vehicle, the autonomy system comprising a processor and a memory device, the memory device storing instructions that when executed by the processor cause the processor to:
receive, from a plurality of sensors, at least one sensor signal representing one or more measurements of the autonomous vehicle;
determine a mass of the autonomous vehicle based on the one or more measurements;
estimate a center of mass along a longitudinal axis of the autonomous vehicle based on the one or more measurements and the mass;
receive, from the plurality of sensors, at least one sensor signal representing one or more cargo loss-related conditions;
identify one or more cargo loss-indicative conditions based on the center of mass estimation and the one or more cargo loss-related conditions;
generate a lost cargo detection signal based on at least one of the one or more cargo loss-indicative conditions and a location of the autonomous vehicle; and
transmit the lost cargo detection signal to an external receiver.

19. The autonomy system of claim 18 , wherein the one or more cargo loss-related conditions comprise at least one of a longitudinal shift in the center of mass estimation, a drive system torque threshold, and a trailer weight threshold.

20. The autonomy system of claim 18 , wherein the processor is further caused to control a drive system to move the autonomous vehicle into a hazard-response position.

Assignees

• Torc Robotics Inc

Inventors

• Fox-Rabinovitz Joseph R
• Rivero Armenio
• Raikar Akshay Pai
• Davis William
• Smith Pablo
• Grigg Walter

Classifications

• B60T8/1708

  for lorries or tractor-trailer combinations · CPC title

• B60W10/08

  including control of electric propulsion units, e.g. motors or generators · CPC title

• B60T8/18 Primary

  responsive to vehicle weight or load, e.g. load distribution ({using electrical circuitry on regulation means B60T8/17; } B60T8/30 takes precedence; responsive to weight and speed condition B60T8/58) · CPC title

• B60T2250/02

  Vehicle mass · CPC title

• G01M1/122

  Determining position of centre of gravity · CPC title