[특허]Sensor-based navigation correction

Rockwell Collins, Inc.

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특허 상세정보

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내보내기 페이스북 공유 트위터 공유 카카오톡 공유

Sensor-based navigation correction

특허상세정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/00 G01C-023/00 G01S-013/94 G08G-005/00 G06T-007/60 G06T-007/00 G06T-007/20 G06T-017/05 G01S-013/95 G08G-005/02
출원번호	US-0609651 (2015-01-30)
등록번호	US-9489575 (2016-11-08)
발명자 / 주소	Whalen, Donald J. Walker, Brad A. Schultz, Scott E. Heberlein, Ronald E. Han, David I.
출원인 / 주소	Rockwell Collins, Inc.
대리인 / 주소	Gerdzhikov, Angel N.
인용정보	피인용 횟수 : 5 인용 특허 : 9

초록
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A system and method for providing sensor-based navigation correction of a GPS-sensed position of an aircraft includes a synthetic vision system. The synthetic vision system captures a visual image of the surrounding area via image sensors and generates a location model based on the image. A georeference engine compares the location model to static high-resolution terrain and obstacle databases to determine a corrected position of the aircraft. The georeference engine then updates the GPS-sensed position with the corrected position, transmitting the corre...

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1. A synthetic vision system for an aircraft, comprising: at least one position sensor configured to: (a) determine a first coordinate set of at least one first coordinate, the first coordinate set corresponding to a first location of the aircraft; and(b) update a second coordinate set of at least one second coordinate, the second coordinate set corresponding to a current location of the aircraft, by replacing at least one second coordinate with the at least one first coordinate;at least one image sensor configured to capture at least one first image based on a second location of the aircraft;at least one georeference engine coupled with the at least one image sensor and the at least one position sensor, the georeference engine configured to: (a) generate at least one location model based on the at least one first image;(b) determine a third coordinate set of at least one third coordinate, the third coordinate set corresponding to the second location of the aircraft, by comparing the at least one location model to at least one terrain database; and(c) update the second coordinate set by replacing at least one second coordinate with the at least one third coordinate;at least one combiner coupled with the at least one position sensor and the at least one image sensor, the at least one combiner configured to generate at least one second image based on at least the second coordinate set and the at least one first image; andat least one display unit coupled with the at least one combiner, the at least one display unit configured to display the at least one second image. 2. The synthetic vision system of claim 1, wherein the at least one display unit includes a heads-up display. 3. The synthetic vision system of claim 1, wherein the at least one position sensor includes at least one of a GPS receiver, a GNSS receiver, and an attitude sensor. 4. The synthetic vision system of claim 1, wherein the at least one first coordinate, the at least one second coordinate, and the at least one third coordinate correspond to at least one of a latitude, a longitude, an altitude, a yaw component, a pitch component, and a roll component. 5. The synthetic vision system of claim 1, wherein the at least one image sensor includes at least one of a radar sensor, a LIDAR sensor, a Laser Imaging Through Obscurants (LITO) sensor, an infrared (IR) sensor, an optical camera, and a stereo camera. 6. The synthetic vision system of claim 1, wherein the at least one first image includes at least one of a two-dimensional image, a two-dimensional ranged image, and a three-dimensional virtual representation of a space. 7. The synthetic vision system of claim 1, wherein the first location has a first delta representing the difference between the first location and the physical location of the aircraft, and the second location has a second delta representing the difference between the second location and the physical location of the aircraft, the second delta less than the first delta. 8. The synthetic vision system of claim 1, wherein the at least one terrain database includes at least one of a DTED dataset and an obstacle database. 9. The synthetic vision system of claim 1, wherein the at least one second image includes at least one data overlay, the at least one data overlay including at least one data point based on at least one of the second coordinate set and the first image. 10. The synthetic vision system of claim 9, wherein the at least one data point includes at least one of an altitude, an airport approach, a status of an aircraft component, a glide slope, a velocity, a legend corresponding to at least one of a natural feature or an obstacle, a representation of a three-dimensional surface, a feature not included in the obstacle database, and a heading. 11. The synthetic vision system of claim 1, wherein the at least one location model includes at least one of a point cloud corresponding to a three-dimensional space and a polygonal tile corresponding to a three-dimensional surface. 12. The synthetic vision system of claim 1, wherein the system is embodied in an aircraft. 13. A method for providing sensor-based navigational correction aboard an aircraft, comprising: determining a first coordinate set of at least one first coordinate, the first coordinate set corresponding to a first location of the aircraft;updating a second coordinate set of at least one second coordinate, the second coordinate set corresponding to a current location of the aircraft, by replacing at least one second coordinate with the at least one first coordinate;capturing at least one first image based on at least a second location of the aircraft;generating at least one location model based on the at least one first image;determining a third coordinate set of at least one third coordinate, the third coordinate set corresponding to the second location of the aircraft, by comparing the at least one location model to at least one terrain database;updating the second coordinate set by replacing at least one second coordinate with the at least one third coordinate;generating at least one second image, the at least one second image based on at least the second coordinate set and the at least one first image; anddisplaying the at least one second image. 14. The method of claim 13, wherein determining a first coordinate set of at least one first coordinate includes: determining a first coordinate set of at least one first coordinate via at least one of a GPS receiver, a GNSS receiver, and an attitude sensor. 15. The method of claim 13, wherein capturing at least one first image based on at least a second location of the aircraft includes: capturing at least one of a two-dimensional image and a three-dimensional virtual representation of a space. 16. The method of claim 13, wherein capturing at least one first image based on at least a second location of the aircraft includes: capturing at least a first image based on at least a second location of the aircraft via at least one of a radar sensor, a LIDAR sensor, a Laser Imaging Through Obscurants (LITO) sensor, an infrared (IR) sensor, an optical camera, and a stereo camera. 17. The method of claim 13, wherein generating at least one location model based on the at least one first image includes: generating at least one point cloud based on the at least one first image. 18. The method of claim 13, wherein determining a third coordinate set of at least one third coordinate, the third coordinate set corresponding to the second location of the aircraft, by comparing the at least one location model to at least one terrain database includes: determining a third coordinate set of at least one third coordinate by comparing the at least one location model to at least one of a DTED dataset and an obstacle database. 19. The method of claim 13, wherein generating at least one second image, the at least one second image based on at least the second coordinate set and the at least one first image includes: generating at least one second image, the at least one second image including at least one data overlay, the at least one data overlay including at least one data point based on at least one of the second coordinate set and the first image. 20. The method of claim 19, wherein generating at least one second image, the at least one second image including at least one data overlay, the at least one data overlay including at least one data point based on at least one of the second coordinate set and the first image includes: generating at least one second image, the at least one second image including at least one data overlay, the at least one data overlay including at least one of an altitude, an airport approach, a status of an aircraft component, a glide slope, a velocity, a legend corresponding to at least one of a natural feature or an obstacle, a feature not included in the obstacle database, and a heading.

이 특허에 인용된 특허 (9)

이 특허를 인용한 특허 피인용횟수: 5

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