Aerial vehicle smart landing
US-11242144-B2 · Feb 8, 2022 · US
Virtual Grid Dictionary Based Target Heading Class Intention Recognition Method and Device
US2022018660A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022018660-A1 |
| Application number | US-202117379024-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 19, 2021 |
| Priority date | Jul 20, 2020 |
| Publication date | Jan 20, 2022 |
| Grant date | — |
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Abstract
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The application relates to a virtual grid dictionary based target heading class intention recognition method and a virtual grid dictionary based target heading class intention recognition device. The method includes the steps of: acquiring the longitude and latitude data of a task space, and transforming the task space into a longitude-latitude grid according to the longitude and latitude data; setting up a first virtual grid dictionary corresponding to a task target according to the longitude and latitude of the task target corresponding to a flight target and the longitude-latitude grid; determining whether the flight target is switched to a straight flight mode according to the longitudes and latitudes and current longitudes and latitudes of historical flight paths of the flight target; querying the task target in the flight path of the flight target according to a sensitive area corresponding to the preset task target and the first virtual grid dictionary when the flight target is in the straight flight mode, where the task target is queried according to a situation that whether the flight target is in the range of the sensitive area; and determining the task type of the flight target according to the type of the task target in an expected flight path. The method can improve the efficiency of intention recognition.
First claim
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1 . A virtual grid dictionary based target heading class intention recognition method, wherein the method comprising the following steps of: acquiring the longitude and latitude data of a task space, transforming the task space into a longitude-latitude grid according to the longitude and latitude data, and according to the longitude and latitude of a task target corresponding to a flight target and the longitude-latitude grid, setting up a first virtual grid dictionary corresponding to the task target, where the first virtual grid dictionary is configured to query the task target through latitudes and longitudes; according to the current longitudes and latitudes and longitudes and latitudes of historical flight paths of the flight target, determining whether the flight target is switched to a straight flight mode; when the flight target is in the straight flight mode, according to a sensitive area corresponding to the preset task target and the first virtual grid dictionary, querying the task target in the flight path of the flight target, where the task target is queried according to a situation that whether the flight target is in the range of the sensitive area; and determining the task type of the flight target according to the type of the task target in the expected flight path. 2 . The method according to claim 1 , wherein the step of acquiring the longitude and latitude data of a task space, and transforming the task space into a longitude-latitude grid according to the longitude and latitude data comprises: acquiring the longitude and latitude endpoint values of the task space as Lat s , Lat e , Lon s and Lon e , and according to a preset length, partitioning the task space into a longitude-latitude grid with a latitude value interval of L Dlat and a longitude value interval of L Dlon : N lat ∼ { [ Lat s , Lat s + N lat × L Dlat ] , N lat = 1 [ Lat s + ( N lat - 1 ) × L Dlat , Lat s + N lat × L Dlat ] , N lat > 1 [ Lat s + ( N lat - 1 ) × L Dlat , Lat e ] , N lat = [ Lat e
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Classifications
Classification techniques · CPC title
- G01C21/20Primary
Instruments for performing navigational calculations (G01C21/24, G01C21/26 take precedence) · CPC title
- F41G5/08Primary
Ground-based tracking-systems for aerial targets · CPC title
using context analysis, e.g. recognition aided by known co-occurring patterns · CPC title
- G06F16/29Primary
Geographical information databases · CPC title
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- What does patent US2022018660A1 cover?
- The application relates to a virtual grid dictionary based target heading class intention recognition method and a virtual grid dictionary based target heading class intention recognition device. The method includes the steps of: acquiring the longitude and latitude data of a task space, and transforming the task space into a longitude-latitude grid according to the longitude and latitude data;…
- Who is the assignee on this patent?
- National Univ Of Defense Technology
- What technology area does this patent fall under?
- Primary CPC classification G01C21/20. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Jan 20 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).