Threat object map creation using a three-dimensional sphericity metric
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-017/00
G06F-019/00
G01S-013/00
G01S-013/66
G01S-013/89
G06K-009/00
G06G-007/80
출원번호
US-0467750
(2009-05-18)
등록번호
US-8321070
(2012-11-27)
발명자
/ 주소
Manson, Steven J.
출원인 / 주소
Raytheon Company
대리인 / 주소
Daly, Crowley, Mofford & Durkee, LLP
인용정보
피인용 횟수 :
1인용 특허 :
5
초록▼
In order to target and intercept a desired object within a number of objects detected in an environment, detection data is received from two different sensors, where the detection data includes spatial coordinates. A set of four-point subsets (tetrahedra) are selected from each set of spatial coordi
In order to target and intercept a desired object within a number of objects detected in an environment, detection data is received from two different sensors, where the detection data includes spatial coordinates. A set of four-point subsets (tetrahedra) are selected from each set of spatial coordinates. A number of correlation maps are determined between the first set of spatial coordinates and the second set of spatial coordinates based on the plurality of four-point subsets. The mean sphericity for each corresponding plurality of four-point subsets in the plurality of correlation maps is determined, and a threat object map based on the correlation map having the greatest mean sphericity is created. The desired object is targeted based on the correlation map.
대표청구항▼
1. A threat object map system comprising: a first sensor configured to acquire a first set of detection data associated with a plurality of objects within an environment, the first set of detection data including a first set of spatial coordinates;a second sensor geographically remote from the first
1. A threat object map system comprising: a first sensor configured to acquire a first set of detection data associated with a plurality of objects within an environment, the first set of detection data including a first set of spatial coordinates;a second sensor geographically remote from the first sensor and configured to acquire a second set of detection data associated with the plurality of objects, the second set of detection data including a second set of spatial coordinates;a threat object map creation module configured to: receive and store the first and second sets of detection data;determine a plurality of correlation maps between the first set of spatial coordinates and the second set of spatial coordinates based on a plurality of N+1 point subsets selected from each set of spatial coordinates;determine the mean sphericity for each corresponding plurality of four-point subsets in the plurality of correlation maps;and create a threat object map based on the correlation map having the greatest mean sphericity,wherein N is the number of independent correlatable dimensions in the threat object map. 2. The threat object map system of claim 1, further comprising: a kill vehicle configured to maneuver to intercept an intended target in accordance with the threat object map. 3. The threat object map system of claim 2, wherein the kill vehicle includes a transceiver configured to receive the threat object map from an external source. 4. The threat object map system of claim 2, wherein the kill vehicle includes a transceiver configured to receive a two-dimensional projection of the threat object map from an external source. 5. The threat object map system of claim 2, wherein the threat object map creation module resides within the kill vehicle. 6. The threat object map system of claim 1, wherein the threat object map creation modules resides in a ground-based battle management system. 7. The threat object map system of claim 1, wherein the plurality of sensors include one or more sensors selected from the group consisting of infrared, radar, and optical. 8. The threat object map system of claim 1, wherein the threat object map includes non-coordinate data attributes associated with each object. 9. The threat object map system of claim 1, wherein N=3. 10. The threat object map system of claim 1, wherein the threat object map creation module is configured to select the plurality of point subsets from each set of spatial coordinates based on nearest-neighbor position. 11. The threat object map system of claim 1, wherein the threat object map creation module is configured to remove the point subsets for which the sphericity is below a predetermined threshold. 12. A method of targeting a desired object within a plurality of objects detected in an environment, the method comprising: receiving, from a first sensor, a first set of detection data associated with the plurality of objects, the first set of detection data including a first set of spatial coordinates;receiving, from a second sensor geographically remote from the first sensor, a second set of detection data associated with the plurality of objects, the second set of detection data including a second set of spatial coordinates;selecting a plurality of N+1 point subsets from each set of spatial coordinates;determining a plurality of correlation maps between the first set of spatial coordinates and the second set of spatial coordinates based on the plurality of point subsets;determining the mean sphericity for each corresponding plurality of point subsets in the plurality of correlation maps;creating a threat object map based on the correlation map having the greatest mean sphericity;targeting the desired object based on the correlation map. 13. The method of claim 12, further including intercepting, with a kill vehicle, the desired object in accordance with the targeting step. 14. The method of claim 13, further including sending the threat object map to the kill vehicle. 15. The method of claim 13, further including sending a two-dimensional projection of the threat object map to the kill vehicle. 16. The method of claim 13, including performing the step of creating the threat object map within the kill vehicle. 17. The method of claim 12, further including selecting the plurality of point subsets from each set of spatial coordinates based on nearest-neighbor position. 18. The method of claim 12, further including removing any of the point subsets for which the sphericity is below a predetermined threshold. 19. A method for intercepting a desired object within an environment containing a plurality of objects, the method comprising: receiving a plurality of sets of detection data from a respective plurality of sensors, wherein at least a portion of the detection data includes three dimensional coordinate information associated with one or more of the objects;selecting substantially non-coplanar tetrahedral subsets of the coordinate information from the detection data to determine a plurality of correlation maps;selecting an optimal correlation map based on a three-dimensional sphericity metric applied to the tetrahedral subsets of coordinate information;instructing a kill vehicle to intercept the desired object based on the optimal correlation map. 20. The method of claim 19, further including selecting the tetrahedral subsets from each set of spatial coordinates based on nearest-neighbor position.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (5)
Morin ; Jr. Wilfred W. (Sea Isle City NJ) Wasser Barry (Potomac MD), High accuracy coordinate conversion method for air traffic control applications.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.