System and methods for automatically landing aircraft
US-2017001732-A1 · Jan 5, 2017 · US
LIDAR-based vehicle distance measurement system
US10109208B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10109208-B2 |
| Application number | US-201615336125-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 27, 2016 |
| Priority date | Oct 27, 2015 |
| Publication date | Oct 23, 2018 |
| Grant date | Oct 23, 2018 |
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- Title
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Abstract
Official abstract text for this publication.
A system and method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle includes receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area; evaluating, with the processor, the LIDAR data against a vehicle state model; determining, with the processor, the distance between the at least one point on the vehicle and the at least one projected area off the vehicle; and commanding a response in the vehicle controls.
First claim
Opening claim text (preview).
What is claimed is: 1. A method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle, comprising: receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area; evaluating, with the processor, the LIDAR data against a vehicle state model; determining, with the processor, the distance between the at least one point on the vehicle and a centroid of the at least one projected area off the vehicle; and commanding a response in the vehicle controls. 2. The method of claim 1 , wherein the vehicle is an aircraft in flight. 3. The method of claim 2 , wherein the at least one projected area off of the aircraft is within a landing zone. 4. The method of claim 3 , wherein the at least one point on a vehicle is a landing gear. 5. The method of claim 1 , wherein the at least one projected area off of the vehicle includes a potential hazardous object. 6. The method of claim 5 , wherein the potential hazardous object is airborne, land-based or sea-based. 7. The method of claim 1 , further comprising a memory having instructions stored thereon that, when executed by the processor, cause the system to command a response in the vehicle controls. 8. The method of claim 1 , wherein the processor sends the distance between at least one point on the vehicle and at least one projected area off of the vehicle to the pilot who then commands a response in the vehicle controls. 9. A system for the measurement of the distance between at least one point on a vehicle and at least one projected area off the vehicle, comprising: a sensor system; a processor; and memory having instructions stored thereon that, when executed by the processor, cause the system to: receive sensor signals indicative of LIDAR data for the at least one projected area off the vehicle; apply a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area; evaluate, with the processor, the LIDAR data against a vehicle state model; and determine, with the processor, the distance between a point on the vehicle and a centroid of the projected area off of the vehicle. 10. The system of claim 9 , wherein the vehicle is an aircraft in flight. 11. The system of claims 10 , wherein the at least one projected area off of the aircraft is within a landing zone. 12. The system of claim 11 , wherein the at least one point on a vehicle is a landing gear. 13. The system of claim 9 , wherein the at least one projected area off of the vehicle includes a potential hazardous object. 14. The system of claim 13 , wherein the potential hazardous object is airborne, land-based or sea-based. 15. The system of claim 9 , wherein the system is configured to command a response in the vehicle controls. 16. The system of claim 9 , wherein the processor is configured to send the distance between at least one point on the vehicle and at least one projected area off of the vehicle to the pilot who then commands a response in the vehicle controls. 17. A method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle, comprising: receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area, wherein the linear estimation algorithm is a random sample consensus algorithm; evaluating, with the processor, the LIDAR data against a vehicle state model; determining, with the processor, the distance between the at least one point on the vehicle and a centroid of the at least one projected area off the vehicle; and commanding a response in the vehicle controls.
Assignees
Inventors
Classifications
specially adapted for aircraft · CPC title
- G01S7/4808Primary
Evaluating distance, position or velocity data · CPC title
- G08G5/045Primary
Physics · mapped topic
Helicopters · CPC title
optical · CPC title
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Frequently asked questions
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- What does patent US10109208B2 cover?
- A system and method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle includes receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the pr…
- Who is the assignee on this patent?
- Sikorsky Aircraft Corp
- What technology area does this patent fall under?
- Primary CPC classification G01S7/4808. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Oct 23 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).