IP Library Granted Patent US 10,690,772
Granted Patent B2
US 10,690,772 · App. 15/443,165 · Granted Jun 23, 2020

LIDAR site model to aid counter drone system

Inventor: Brian R. Van Voorst (Minneapolis, MN)
Assignee: Raytheon BBN Technologies Corp.
G01S17/04B64C39/024F41H11/02G01S7/4817G01S7/495G01S7/51G01S17/66G01S17/86G01S17/87G01S17/89G01S17/933G05D1/0016G05D1/0088G05D1/0094G05D1/101G05D1/12G06K9/0063G06T17/05G08G5/0026G08G5/0069G08G5/0082H04W4/021B64C2201/027B64C2201/108B64C2201/12B64C2201/121B64C2201/141B64C2201/146F41H13/0006G06K2209/21
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,690,772
App. No.
15/443,165
Granted
Jun 23, 2020
Kind
B2
Abstract

A system for creating a three dimensional model of an environment includes a LIDAR scanning system to scan an environment to provide an image of a scene of the scanned environment, a geo-locator to tag a plurality of points within the image with geo-reference points and a labeler to label features of interest within the image of the scene and to identify possible access paths within the three dimensional model of the environment from the features of interest potentially providing an access path for a target drone.

Claims (29)

1. A light detection and ranging system for creating a three dimensional model of an environment comprising:

a light detection and ranging (LIDAR) scanning system to scan an environment to provide an image of a scene of the scanned environment;

a geo-locator to tag a plurality of points within the image with geo-reference points; and

a labeler to label features of interest within the image of the scene and to identify possible access paths within the three dimensional model of the environment from the features of interest potentially providing an access path for a target drone wherein the LIDAR scanning system comprises a tracking system to track objects in the scanned environment and the tracking system determines if a new track is a false track by looking where the track originated.

2. The system as recited in claim 1 wherein the tracking system generates an intercept track for an intercept drone from the possible access paths determined from the labeler and the environmental model.

3. The system as recited in claim 1 comprising a response planner to plan safe paths through the environment for an intercept drone.

4. The system as recited in claim 3 wherein the response planner includes identifying false positives.

5. The system as recited in claim 1 comprising a response planner to plan the placement of sensors within the environment to reduce blind spots in the environmental model.

6. The system as recited in claim 1 comprising a response planner to plan interceptions that minimize collateral damage.

7. The system as recited in claim 1 comprising a response planner to select an appropriate countermeasure including deploying a second drone to intercept the target drone.

8. The system as recited in claim 1 comprising a response planner to pilot an intercept drone around obstacles that have been mapped in the scene apriori.

9. A method of providing a three dimension model of an environment comprising:

scanning an environment using a light detection and ranging scanning system to provide an image of the scanned environment;

tagging a plurality of points within the image with geo-reference points to identify the location of a plurality of points;

labeling features of interest within to image and identifying possible access paths within a three dimensional model of the environment from the features of interest an access path for a target drone; and

tacking objects in the scanned environment and determining if a new track is a false track by, looking where the track originated.

10. The method as recited in claim 9 comprising generating an intercept track for an intercept drone from the possible access paths determined from features of interest within the image.

11. The method as recited in claim 10 comprising identifying false positives.

12. The method as recited in claim 9 comprising planning safe paths through the environment for an intercept drone from the features of interest within the image.

13. The method as recited in claim 9 comprising planning the placement of sensors within the environment to reduce blind spots in the environmental model.

14. The method as recited in claim 9 comprising planning interceptions that minimize collateral damage.

15. The method as recited in claim 9 comprising selecting an appropriate countermeasure including deploying a second drone to intercept the target drone.

16. The method as recited in claim 9 comprising piloting an intercept drone around obstacles that have been mapped in the scene apriori.

17. A drone detection system comprising:

a light detection and ranging (LIDAR) scanning system to scan an environment to provide an image of a scene of the scanned environment and to detect a target drone entering the scanned environment;

a geo-locator to tag a plurality of points within the image with geo-reference points;

a labeler to label features of interest within the image of the scene and to identify possible access paths within a three dimensional model of the environment from the features of interest potentially providing an access path for the target drone; and

a response planner to select an appropriate countermeasure including deploying a second drone to intercept the target drone wherein the LIDAR scanning system comprises a tracking system to track objects in the scanned environment and the tracking system determines if a new track is a false track by looking where the track originated.

18. The drone detection system as recited in claim 17 wherein the tracking system generates an intercept track for an intercept drone from the possible access paths determined from the scanned environment.

Assignments (2)
CHANGE OF NAME Recorded Aug 22, 2024
From: RAYTHEON BBN TECHNOLOGIES CORP.
To: RTX BBN TECHNOLOGIES, INC.
Reel/Frame 068748/0419 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 28, 2017
From: VAN VOORST, BRIAN R.
To: RAYTHEON BBN TECHNOLOGIES CORP.
Reel/Frame 041398/0163 →
Continuity (3)
Provisional Application 62364368 · Jul 20, 2016
Provisional Application 62306841 · Mar 11, 2016
Related Publication 20170261999A1 · Sep 14, 2017
Cited By (4)
US 12,277,850 US 12,399,278 US 12,399,279 US 12,511,923