Collaborative coordination of target engagement

Patent metadata

Field	Value
Publication number	US-2023228527-A1
Application number	US-202217578322-A
Country	US
Kind code	A1
Filing date	Jan 18, 2022
Priority date	Jan 18, 2022
Publication date	Jul 20, 2023
Grant date	—

Abstract

A method for collaboration of a plurality of nodes includes determining at each node SLAM data for the node, the SLAM data including estimated position of features and/or targets observed and processed by the node using SLAM algorithms and covariance associated with the estimated positions, communicating at each node the node's SLAM data to the other nodes via each nodes' datalink communication system, receiving at each node SLAM data communicated from the other nodes via each node's datalink communication system, combining at each node the node's SLAM data and the SLAM data received from the other nodes based on features or targets included in SLAM data from the other nodes, refining at each node estimated positions of features and/or targets based on results of the combining, and navigating each node to a target at the target destination as a function of at least one of the refined estimated positions.

First claim

What is claimed is:

1 . A method for collaboration of a plurality of nodes travelling in a group to a target destination having one or more targets, wherein each node of the plurality of nodes is provided with a datalink communication system to communicate with other nodes of the plurality of nodes, the method comprising:
determining at each node SLAM data for the node, the SLAM data including estimated position of features and/or targets observed by the node and processed by the node using SLAM algorithms and covariance associated with the estimated positions; communicating at each node the node's SLAM data to the other nodes via each nodes' datalink communication system; receiving at each node SLAM data communicated from the other nodes via each node's datalink communication system; combining at each node the node's SLAM data and the SLAM data received from the other nodes based on one or more features or targets included in SLAM data from two or more nodes of the other nodes; refining at each node estimated positions of features and/or targets based on results of the combining; and navigating each node to a target at the target destination as a function of at least one of the refined estimated positions.

2 . The method of claim 1 , wherein combining at each node the node's own SLAM data and the SLAM data received from the other nodes includes determining one or more features and/or targets for which positions are included in the node's SLAM data are the same one or more features and/or targets for which positions are included in the received SLAM data.

3 . The method of claim 1 , wherein the SLAM data determined at each node further include meta data about the features and/or targets for which estimated positions are included, wherein the meta data includes at least one of a feature type, target type, target heading, direction of motion, and target speed.

4 . The method of claim 1 , further comprising:
capturing at each node one or more images; recognizing at each node one or more features or targets in the images; and tracking at each node the recognized one or more features or targets, wherein the node's SLAM data is based on the tracked one or more features or targets.

5 . The method of claim 1 , wherein when traveling in the constellation a first and second node of the plurality of nodes determine their respective SLAM data substantially simultaneously followed by receiving each other's respective SLAM data, or wherein when traveling in the constellation the first node determines its SLAM data and the first node provides the first node's SLAM data to the second node before the second node determines the second node's SLAM data.

6 . The method of claim 1 , wherein the plurality of nodes are a plurality of munitions in a salvo discharged to attack one or more targets.

7 . The method of claim 6 , wherein each munition of the plurality of munitions in the salvo is selected from the group consisting of: gun launched munitions; rocket propelled munitions; motor propelled munitions; air dropped munitions; and Unmanned Aerial Vehicles.

8 . The method of claim 1 , wherein for each of the nodes the SLAM data is determined independent of a Global Positioning System (GPS).

9 . The method of claim 1 , further comprising:
communicating at each node navigation data of the node to the other nodes via each nodes' datalink communication system; and receiving at each node navigation data communicated from the other nodes via each node's datalink communication system; wherein the determining at each node the distance range of the node relative to the other nodes is further performed using the navigation data communicated from the other nodes.

10 . The method of claim 1 further comprising each node updating the node's SLAM data using navigation data of the node as the node travels.

11 . A navigation system for providing collaboration of a plurality of nodes travelling in a group to a target destination having one or more targets, the navigation system of each node of the plurality of nodes comprising:
a datalink communication system configured and operable to communicate with other nodes of the plurality of nodes; a navigation component for navigating the node in travel; a memory configured to store instructions; a processor disposed in communication with the memory, wherein the processor upon execution of the instructions is configured to:
determine SLAM data for the node, the SLAM data including estimated position of features and/or targets observed by the node and processed by the node using SLAM algorithms and covariance associated with the estimated positions;
communicate the node's SLAM data to the other nodes via the nodes' datalink communication system;
receive SLAM data communicated from the other nodes via the other nodes' datalink communication systems;
combine the node's SLAM data and the SLAM data received from the other nodes based on one or more features or targets included in SLAM data from two or more nodes of the other nodes;
refine estimated positions of features and/or targets based on results of the combining; and
navigate the node to a target at the target destination as a function of at least one of the refined estimated positions.

12 . The navigation system of claim 11 , wherein combining the node's SLAM data and the SLAM data received from the other nodes includes determining one or more features and/or targets for which positions are included in the node's SLAM data are the same one or more features and/or targets for which positions are included in the received SLAM data.

13 . The navigation system of claim 11 , wherein the SLAM data determined further includes meta data about the features and/or targets for which estimated positions are included, wherein the meta data includes at least one of a feature type, target type, target heading, direction of motion, and target speed.

14 . The navigation system of claim 11 , wherein the processor upon execution of the instructions is further configured to:
capture one or more images; recognize one or more features or targets in the images; and track the recognized one or more features or targets, wherein the node's SLAM data is based on the tracked one or more features or targets.

15 . The navigation system of claim 11 , wherein when traveling in the constellation, the node and a second node of the plurality of nodes determine their respective SLAM data substantially simultaneously followed by receiving each other's respective SLAM data, or wherein when traveling in the constellation the node determines its SLAM data and the node provides the node's SLAM data to the second node before the second node determines the second node's SLAM data.

16 . The navigation system of claim 11 , wherein the plurality of nodes are a plurality of munitions in a salvo discharged to attack one or more targets.

17 . The method of claim 16 , wherein each munition of the plurality of munitions in the salvo is selected from the group consisting of: gun launched munitions; rocket propelled munitions; motor propelled munitions; air dropped munitions; and Unmanned Aerial Vehicles.

18 . The method of claim 11 , wherein the SLAM data is determined independent of a Global Positioning System (GPS).

19 . The method of claim 11 , wherein the processor upon execution of the instructions is further configured to:
communicate navigation data of the node to the other nodes via the node's datalink communication system; and receive at the node's datalin

Assignees

• Rosemount Aerospace Inc

Inventors

• Squillace Guy
• Willenbring Gary
• Ell Todd A

Classifications

• F41G7/2253 Primary

  Passive homing systems, i.e. comprising a receiver and do not requiring an active illumination of the target · CPC title

• F41G7/2293

  using electromagnetic waves other than radio waves · CPC title

• F41G7/2233

  Multimissile systems · CPC title

• F41G7/2246

  Active homing systems, i.e. comprising both a transmitter and a receiver · CPC title

• F41G7/343

  comparing observed and stored data of target position or of distinctive marks along the path towards the target · CPC title