Collision avoidance system and method for unmanned aircraft

Patent metadata

Field	Value
Publication number	US-10520944-B2
Application number	US-201815863529-A
Country	US
Kind code	B2
Filing date	Jan 5, 2018
Priority date	Jan 6, 2017
Publication date	Dec 31, 2019
Grant date	Dec 31, 2019

Abstract

An obstacle-avoidance system for a vehicle, the obstacle-avoidance system may comprise: a communication device; a plurality of sensors, the plurality of sensors configured to detect collision threats within a predetermined distance of the vehicle; and a processor. The processor may communicatively couple to the communication device and the plurality of sensors and configured to receive navigation commands being communicated to a control system via said communication device. The processor may also receive, from at least one of said plurality of sensors, obstruction data reflecting the position of an obstruction. Using the obstruction data, the processor identifies a direction for avoiding said obstruction. In response, the processor may output, via said communication device, a command to said control system causing the vehicle to travel in said flight direction. Using the obstruction data, the processor may further perform a landing assist module, a three-region collision protection function with pilot override, and/or a target-filtering function.

First claim

What is claimed is:

1. A method for providing collision protection in an aircraft, the method comprising:
receiving a sensor input from a sensor positioned on the aircraft and operatively coupled with a processor, wherein the sensor is configured to identify obstacles within a field of view;
receiving a pilot command stream from a pilot;
identifying an obstacle within the field of view based at least in part on said sensor input;
determining a region from a plurality of regions within the field of view in which the obstacle is positioned, wherein the region is determined based at least in part on the sensor input;
setting a control input as a function of the region determined from the plurality of regions;
inputting the control inputs to a proportional-derivative (PD) controller to generate control data;
generating, via the processor, a control command stream as a function of the control data; and
comparing, via the processor, the control command stream to the pilot command stream to determine whether the pilot command stream from the pilot is safe.

2. The method of claim 1 , wherein the control command stream is communicated to a flight controller of the aircraft in lieu of the pilot command stream when the pilot command stream from the pilot is determined not to be safe.

3. The method of claim 1 , wherein the pilot command stream is communicated to a flight controller of the aircraft when the pilot command stream from the pilot is determined to be safe.

4. The method of claim 1 , wherein the sensor input comprises a range-rate estimate or a range estimate.

5. The method of claim 1 , wherein the plurality of regions comprises a first region, a second region, and a third region.

6. The method of claim 1 , wherein a pilot command stream is determined not to be safe if the pilot command stream can be interpreted by the processor as attempting to (1) reduce a range between the aircraft and the obstacle or (2) increase a rate of the aircraft above a rate limit set by the control data.

7. The method of claim 1 , further comprising the step of receiving a pilot override command from the pilot, wherein the pilot override command overrides the control command stream.

8. The method of claim 1 , further comprising the step of performing a target-filtering operation.

9. The method of claim 8 , wherein the target-filtering operation comprises the steps of:
receiving range and magnitude data from a RADAR system for an obstacle within a line of sight of the aircraft;
determining, via the processor and based at least in part on the range and magnitude data, whether the magnitude is saturated;
calculating, via the processor, a standard deviation of at least a portion of a trace reflecting the range and magnitude data over time;
determining, via the processor, a new range point for the trace;
calculating, via the processor, a minimum difference between the new range point for the trace and an assigned range from incoming data; and
calculating a confidence and low-pass value, via the processor, via a critically damped low-pass filter (LPF).

10. A navigation system for providing collision protection in an aircraft, the navigation system comprising:
a sensor configured to couple to the aircraft and to identify obstacles within a field of view;
a processor operatively coupled with the sensor and a memory device, wherein the processor is configured to receive a pilot command stream from a pilot, wherein the processor is further configured to:
identify an obstacle within the field of view based at least in part on a sensor input from said sensor;
determine a region from a plurality of regions within the field of view in which the obstacle is positioned, wherein the region is determined based at least in part on the sensor input;
set a control input as a function of the region determined from the plurality of regions;
input the control inputs to a proportional-derivative (PD) controller to generate control data;
generate, via the processor, a control command stream as a function of the control data; and
compare, via the processor, the control command stream to the pilot command stream to determine whether the pilot command stream from the pilot is safe.

11. The navigation system of claim 10 , wherein the control command stream is communicated to a flight controller of the aircraft in lieu of the pilot command stream when the pilot command stream from the pilot is determined not to be safe.

12. The navigation system of claim 10 , wherein the plurality of regions comprises a first region, a second region, and a third region.

13. The navigation system of claim 10 , wherein a pilot command stream is determined not to be safe if the pilot command stream can be interpreted by the processor as attempting to (1) reduce a range between the aircraft and the obstacle or (2) increase a rate of the aircraft above a rate limit set by the control data.

14. The navigation system of claim 10 , wherein the processor is configured to receive a pilot override command from the pilot that overrides the control command stream.

15. The navigation system of claim 10 , wherein the aircraft is a vertical take-off and landing (VTOL) aircraft.

16. The navigation system of claim 10 , further comprising a landing assist module to instruct the aircraft to perform a landing maneuver to avoid an obstruction detected below the aircraft.

17. The navigation system of claim 10 , wherein the processor is configured to perform a target-filtering operation.

18. The navigation system of claim 17 , wherein the target-filtering operation comprises the steps of:
receiving range and magnitude data from a RADAR system for an obstacle within a line of sight of the aircraft;
determining, via the processor and based at least in part on the range and magnitude data, whether the magnitude is saturated;
calculating, via the processor, a standard deviation of at least a portion of a trace reflecting the range and magnitude data over time;
determining, via the processor, a new range point for the trace;
calculating, via the processor, a minimum difference between the new range point for the trace and an assigned range from incoming data; and
calculating a confidence and low-pass value, via the processor, via a critically damped low-pass filter (LPF).

19. The navigation system of claim 18 , wherein the confidence and low-pass value is calculated using a weighted average of statistical terms derived from a signal mean, a standard deviation, and a magnitude.

20. The navigation system of claim 19 , wherein the weighted average is operator-defined for a desired filter performance.

Assignees

• Aurora Flight Sciences Corp

Inventors

• Kunzi Fabrice
• Kehlenbeck Andrew
• Rogers Donald
• Sardonini Michael
• Scott Edward

Classifications

• G05D1/0088

  characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title

• G08G5/025

  Physics · mapped topic

• G08G5/045

  Physics · mapped topic

• G08G5/0069

  Physics · mapped topic

• G08G5/0021

  Physics · mapped topic