IP Library › Granted Patent US 10,453,351
Granted Patent B2
US 10,453,351 · App. 15/651,512 · Granted Oct 22, 2019

System and method for detecting obstacles in aerial systems

Inventors: Jae-Woo Choi (Manassas, VA); Jeffrey Saunders (Manassas, VA); James D. Paduano (Boston, MA)
Assignee: Aurora Flight Sciences Corporation
G08G5/045G01S13/867G01S13/9303G05D1/0088G05D1/101G08G5/0039G08G5/04G01S13/723
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Quick Facts
Patent No.
US 10,453,351
App. No.
15/651,512
Granted
Oct 22, 2019
Kind
B2
Abstract

An automated detection and avoidance system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies the pilot of any deviations in expected state based on predictive models. The automated detection and avoidance system may include a processor and a sensor payload operatively coupled to the processor to detect a non-cooperative obstacle within a first airspace adjacent the aircraft. The sensor payload may comprise a radar to radially scan the first airspace, and a camera to scan a second airspace within said first airspace.

Claims (40)

1. An obstacle detection system for use in an aircraft, the obstacle detection system comprising:

a sensor payload to detect a non-cooperative obstacle within a first airspace that is adjacent the aircraft, the sensor payload comprising

a radar to radially scan the first airspace at a first resolution to generate radar information, and

a camera to image the non-cooperative obstacle in a second airspace within said first airspace at a second resolution to generate optical information, wherein the second resolution is higher than the first resolution; and

a processor operatively coupled with the sensor payload, wherein the processor is configured to

determine, using the radar information, a location of the non-cooperative obstacle in the first airspace,

direct the camera toward the location of the non-cooperative obstacle using the radar information, and

process the optical information of the non-cooperative obstacle to identify features of the non-cooperative obstacle.

2. The obstacle detection system of claim 1 , wherein the processor is configured to assign a threat level to the non-cooperative obstacle as a function of the optical information.

3. The obstacle detection system of claim 1 , wherein the processor calculates a scan angle using the location of the non-cooperative obstacle and pans the camera in accordance with the scan angle to image the non-cooperative obstacle.

4. The obstacle detection system of claim 1 , wherein the camera includes a visible-near infrared electro-optic (EO) sensor or a long wave infrared sensor.

5. The obstacle detection system of claim 1 , wherein the optical information includes at least one of a thermal cross section and an optical cross section and the radar information comprises a radar cross section, wherein the processor in configured to combine the optical cross section and the radar cross section to identify the non-cooperative obstacle.

6. The obstacle detection system of claim 1 , wherein the radar information includes a two-dimensional (2D) location of the non-cooperative obstacle within the first airspace, and the optical information includes an azimuthal location of the non-cooperative obstacle within the second airspace.

7. The obstacle detection system of claim 1 , wherein the processor is configured to generate a predicted flight path for the non-cooperative obstacle based at least in part on the radar information and the optical information.

8. The obstacle detection system of claim 7 , wherein the processor is configured to generate an obstacle-avoidance navigational route to avoid a collision with the non-cooperative obstacle based at least in part on the predicted flight path.

9. The obstacle detection system of claim 8 , further comprising a human-machine interface operatively coupled with the processor to enable a human pilot to monitor the obstacle-avoidance navigational route.

10. The obstacle detection system of claim 1 , wherein the first airspace provides a 360-degree field of view about the aircraft.

11. The obstacle detection system of claim 10 , wherein the 360-degree field of view resides in a plane that is parallel to a line of flight defined by the aircraft.

12. A method for detecting and avoiding a non-cooperative obstacle during operation of an aircraft, the method comprising:

scanning a first airspace using a radar system to generate radar information having a first resolution;

determining a location of the non-cooperative obstacle in the first airspace using the radar information;

directing a camera toward the location of the non-cooperative obstacle using the radar information;

imaging the non-cooperative obstacle in a second airspace using the camera to generate optical information at a second resolution that is higher than the first resolution, wherein the second airspace is within said first airspace;

tracking the non-cooperative obstacle based at least in part on the radar information and the optical information;

generating a predicted flight path based at least in part on the radar information and the optical information;

generating an obstacle-avoidance navigational route to avoid the non-cooperative obstacle; and

communicating the obstacle-avoidance navigational route to a flight control system of the aircraft.

13. The method of claim 12 , wherein the aircraft is configured to execute autonomously the obstacle-avoidance navigational route.

14. The method of claim 12 , wherein the camera includes a long wave infrared sensor configured to pan and tilt.

15. The method of claim 12 , further comprising the step of determining an azimuthal location of the non-cooperative obstacle within the second airspace using the camera.

16. The method of claim 12 , wherein the radar system is a mechanically rotating marine radar.

17. The method of claim 16 , wherein the radar information includes a two-dimensional (2D) radial map of the first airspace.

18. The method of claim 12 , further comprising the step of generating, via the processor, a predicted flight path for the non-cooperative obstacle based at least in part on the data received from the sensor payload.

19. A sensor payload for an aircraft to detect a non-cooperative obstacle within an airspace adjacent the aircraft, the sensor payload comprising:

a radar to radially scan the airspace to provide a location of the non-cooperative obstacle;

a first sensor to detect a thermal signature of the non-cooperative obstacle at the location;

a second sensor to image the non-cooperative obstacle at the location; and

a processor operatively coupled with each of the radar, the first sensor, and the second sensor, wherein the processor is configured to determine the location of the non-cooperative obstacle using data from the radar, to direct at least one of the first sensor and the second sensor toward the location of the non-cooperative obstacle, and to classify the non-cooperative obstacle at the location using the thermal signature from the first sensor and the image from the second sensor.

20. The sensor payload of claim 19 , wherein the second sensor includes a long wave infrared sensor.

21. The sensor payload of claim 19 , wherein the second sensor includes a visible-near infrared electro-optic (EO) sensor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2017
From: CHOI, JAE-WOO; SAUNDERS, JEFFERY; PADUANO, JAMES D.
To: AURORA FLIGHT SCIENCES CORPORATION
Reel/Frame 043841/0103 →
Continuity (1)
Related Publication 20190019423A1 · Jan 17, 2019
Cited By (3)
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