Proactive vehicle control systems and methods

Patent metadata

Field	Value
Publication number	US-10577081-B2
Application number	US-201615079940-A
Country	US
Kind code	B2
Filing date	Mar 24, 2016
Priority date	Mar 24, 2016
Publication date	Mar 3, 2020
Grant date	Mar 3, 2020

Abstract

A vehicle may include a sensor and a proactive vehicle controller that is capable of proactively altering one or more vehicle operating parameters in response to detecting a force caused by an environmental event that will be exerted on a chassis of the vehicle. The sensor has a field-of-view that includes the direction of travel of the vehicle. The sensor may detect objects in the field-of-view and, based at least in part on the behavior of the objects in the field-of-view, predicts the force exerted on the object by an environmental event. Based on the predicted force, the proactive vehicle controller proactively adjusts one or more vehicle operating parameters to minimize the effect of the force that will be exerted on the vehicle by the environmental event.

First claim

What is claimed is:

1. A proactive vehicle control system for unmanned vehicles, comprising:
a vehicle that includes a vehicle chassis;
at least one data acquisition camera operably coupled to the vehicle chassis to detect a movement of an object indicative of an environmental event within a field-of-view of the at least one data acquisition camera;
a circuit communicably coupled to the at least one data acquisition camera; and
a storage device communicably coupled to the circuit, the storage device including a machine-readable instruction set that, when executed by the circuit, causes the circuit to provide a proactive vehicle controller to:
acquire image data, speed data, and direction data of the object;
identify the object based on the image data;
acquire, based on the identification of the object, one or more physical attributes of the object from a data store retained in the storage device;
predict at least one prospective force exerted on the vehicle chassis by the environmental event based on the speed data, the direction data, and the one or more physical attributes of the object; and
alter at least one operating parameter of the vehicle to at least partially compensate for the at least one predicted prospective force exerted on the vehicle chassis.

2. The proactive vehicle control system of claim 1 wherein the machine-readable instructions that cause the proactive vehicle controller to predict at least one prospective force exerted on the vehicle chassis by the environmental event, further cause the proactive vehicle controller to:
predict at least one prospective force exerted on the vehicle chassis by the environmental event remote from the vehicle and along an intended direction of travel of the vehicle.

3. The proactive vehicle control system of claim 1 wherein the machine-readable instructions further cause the proactive vehicle controller to:
acquire data indicative of at least one of: a weather-related event or an environmental-related event; and
communicate the acquired data to one or more locations remote from the vehicle on a real-time or a near real-time basis.

4. The proactive vehicle control system of claim 1 wherein the machine-readable instructions further comprising:
predict the at least one prospective force on the vehicle chassis based at least in part on a detected change in the at least one object that includes at least one of: a change in a location of the at least one object; a change in a motion of the at one object; a change in an appearance of the at least one object; a change in a texture of the at least one object; or a change in a velocity of the at least one object.

5. The proactive vehicle control system of claim 1 wherein the at least one data acquisition camera comprises a three-dimensional image acquisition camera.

6. The proactive vehicle control system of claim 1 wherein the at least one environmental event includes at least one of: a wind event, an atmospheric electrical event, a liquid precipitation event, a freezing precipitation event, or a frozen precipitation event.

7. The proactive vehicle control system of claim 6 wherein the wind event includes at least one of: a lateral wind event, an updraft wind event, or a downdraft wind event.

8. A proactive vehicle control method, comprising:
detecting, by at least one data acquisition camera, a movement of an object indicative of at least one environmental event within a field-of-view of the at least one data acquisition camera carried by a vehicle and communicably coupled to a proactive vehicle controller;
acquiring, by the proactive vehicle controller, image data, speed data, and direction data of the object;
identifying, by the proactive vehicle controller, the object based on the image data;
acquiring, by the proactive controller, based on the identification of the object, one or more physical attributes of the object from a data store retained in a storage device;
predicting, by the proactive vehicle controller, at least one prospective force exerted on the vehicle by the at least one environmental event based on the speed data, the direction data, and the one or more physical attributes of the object; and
altering, by the proactive vehicle controller, at least one operating parameter of the vehicle to at least partially compensate for the predicted at least one prospective force.

9. The method of claim 8 wherein detecting a movement of an object indicative of an environmental event within a field-of-view of the at least one data acquisition camera comprises:
detecting, by at least one data acquisition camera, movement of an object indicative of at least one environmental event remote from the vehicle and within the field-of-view of the at least one data acquisition camera.

10. The method of claim 9 wherein detecting a movement of an object indicative of an environmental event within a field-of-view of the at least one data acquisition camera comprises:
detecting, by at least one data acquisition camera, movement of an object indicative of at least one environmental event remote from the vehicle, within the field-of-view of the at least one data acquisition device, and along an intended route of the vehicle.

11. The method of claim 8 wherein predicting at least one prospective force exerted on a vehicle by the at least one environmental event comprises:
predicting, by the proactive vehicle controller, at least one prospective force exerted on the vehicle based at least in part on a detected change in the object over a defined temporal time period.

12. The method of claim 11 wherein predicting at least one prospective force exerted on the vehicle based at least in part on a detected change in the at least one object over a defined temporal time period comprises:
predicting, by the proactive vehicle controller, at least one prospective force exerted on the vehicle based at least in part on a detected change in the object that includes at least one of: a change in a location of the at least one object; a change in a motion of the object; a change in an appearance of the object; a change in a texture of the object; or a change in a velocity of the object.

13. The method of claim 8 wherein acquiring, by the proactive vehicle controller image data, speed data, and direction data of the object further comprises:
acquiring, by the proactive vehicle controller, three-dimensional image data indicative of at least one environmental event within a field-of-view of at least one communicably coupled data acquisition camera.

14. The method of claim 13 wherein acquiring three-dimensional image data indicative of at least one environmental event within a field-of-view of at least one communicably coupled data acquisition camera comprises:
acquiring, by the proactive vehicle controller, data representative of a sequence of three-dimensional images that include image data indicative of at least one environmental event within a field-of-view of at least one communicably coupled data acquisition camera.

15. The method of claim 8 wherein data indicative of at least one environmental event that includes at least one of: a wind event, an atmospheric electrical event, a liquid precipitation event, a freezing precipitation event, or a frozen precipitation event.

16. The method of claim 15 wherein data indicative of at least one of either a wind direction or a wind velocity of an environmental event that includes at least one of: a lateral wind event, an updraft wind event, or a downdraft wind event.

17. A storage device that includes machine-readable instructi

Assignees

• Intel Corp

Inventors

• Baca Jim S
• Iverson Alec
• Wouhaybi Rita H

Classifications

• B64C13/16 Primary

  actuated automatically, e.g. responsive to gust detectors · CPC title

• G08G5/0013

  Physics · mapped topic

• G08G5/0091

  Physics · mapped topic

• G05D1/0204

  to counteract a sudden perturbation, e.g. cross-wind, gust · CPC title

• G06K9/00657

  Physics · mapped topic