Plurality of Linked Automatic Weapon Subsystem
A weapons system is comprised of a plurality of weapon subsystems, wherein the plurality of weapon subsystems are comprised of at least one human transported weapon subsystem and at least one other weapon subsystem; control logic, a targeting subsystem, computational logic, a positioning subsystem, and firing logic. The plurality of weapon subsystems, each has a respective field of view, each said weapon subsystem providing for firing a munitions from the respective said weapon subsystem, wherein the plurality of weapon subsystems are comprised of at least one human transported weapon subsystem and at least one other weapon subsystem. The control logic, links communications among multiple of the weapon subsystems. The targeting subsystem, provides a selected target responsive to computing a best shot selected from up to a plurality of possible shots in the field of view selected for each of the linked said weapons subsystems, responsive to the communications, and, responsive to mapping by identifying which of the weapon subsystems is a selected said weapon subsystem that is in position to provide a best shot for each said possible shot. The computational logic, determines where to aim the munition from each said selected said weapon subsystem, responsive to the targeting subsystem.
The success of traditional human transported weapons to hit intended targets has been dependent upon an individual warfighter's ability and skill to aim and control the weapon. Much training and practice is required to enable a warfighter to be skilled at marksmanship. Historically, a human transported weapon's accuracy has been limited to the operator's skill, as well as environmental factors that may obscure or complicate the shot. Because skill is involved with hitting a target with a human transported weapon, many of the shots will miss the intended target, placing a requirement of having a large supply of munitions available in a firefight. This places a burden to resupply the warfighter in the field, as well as for the warfighter to carry more munitions into a battle, which is extra weight, as well as extra cost. Further, the selection and loading of what type of munitions to use against a given target has been a time-consuming manual process, and often time is of the essence.
Utilizing the present invention enhances a warfighter's skill at being able to accurately hit an intended target, and further, assists the warfighter in target and munitions selection. This invention allows any soldiers, even a warfighter with minimal training and experience, to perform with the skill and accuracy of an expert marksman, compensating for one or more of errors in aiming, environmental factors such as distance, wind, lighting or motion, along with other extenuating factors: weather (such as rain or fog) countermeasures (such as smoke) and other factors that might otherwise interfere with making an accurate shot. Another valuable aspect of this invention is to improve the probability of hitting a target that would otherwise be missed due to movement, inaccurate aim, obscured vision, or simply a difficult shot.
SUMMARY OF THE INVENTIONAn automated weapon system [preferably a human transported weapon] is comprised of a barrel, a targeting subsystem, a computational subsystem, a positioning subsystem, and, a firing subsystem. The barrel is utilized for propelling a fired munitions as aimed towards an area of sighting. The targeting subsystem identifies a chosen target in the area of sighting. The computational subsystem, responsive to the targeting subsystem, determines where the chosen target is and where the barrel needs to be aimed so tat the munitions will strike the chosen target. The positioning subsystem adjusts the aim of the munitions responsive to the computational subsystem. The firing subsystem, fires the munitions at the chosen target responsive to the positioning subsystem. In one embodiment, the system is further comprised of an additional linked automated weapon having a separate barrel, separate munitions, a separate positioning subsystem, and a separate firing subsystem. The computational subsystem determines the positioning of the separate barrel to shoot the separate munitions to strike the chosen target. The additional linked automated weapon can be mounted on a stationary mount or mounted on a movable mount. In one embodiment, there is means for selecting at least one of the human transported weapon and the additional linked automated weapon, as selected and enabled to shoot the munitions at the firing time. In one embodiment, the human transported weapon is one of a plurality of weapons subsystems, and, wherein at least one of the plurality of the weapons subsystems is selected to take a best shot. In another embodiment, a respective best shot is taken by each of at least two of said plurality of weapons subsystems.
While this invention is susceptible of embodiment in many different forms, there is shown in the figures, and will be described herein in detail, specific embodiments thereof with the understanding that the present disclosure is to be considered as an exemplification of the principles of the invention and is not intended to limit the invention to the specific embodiments illustrated herein.
This invention relates to improved accuracy weaponry, and providing new capabilities for human transported weapons. This invention improves accuracy over existing weapons including, but not limited to by scanning the target field with sensors, selecting a desired target (this can be by one of many means such as: nearest target, most dangerous target, the target closest to the center of the target field, etc.), identifying the type of target, selecting an appropriate round of ammunition for the target (if desired), enhancing the aim of the weapon using feedback from the targeting system by providing a correction factor from where the weapon is aimed and where the selected target is, determining if the selected target should be fired at (inhibiting friendly fire situations), and then firing at the target with the corrected aim applied. This improves the miss to hit ratio, and can also further provide selection of target appropriate ammunition for the selected target.
As illustrated in the Figures herein, an Automated Weapons System is comprised of a targeting subsystem, a computational subsystem, and a barrel with repositioning means. The targeting subsystem can utilize a variety of sensors to detect, identify, categorize, and track targets. A target can then be selected, and the barrel can be repositioned to an angle appropriate for a firing solution to strike the selected target. In one embodiment, a munition is selected for a respective selected target and/or based upon the respective munitions availability.
In one embodiment, the computational subsystem allows for the generation of an error factor resulting from a first shot from the AWS, which can be utilized to correct aim for subsequent munition firing.
In another embodiment, the automated weapons technology can be used to prevent hunting (and other) accidents because the target type can be identified. This invention can be used to prevent hunting (and other) accidents, by detecting the difference between a game animal and a human hunter. Having the weapons system identify another hunter (human) would inhibit the firing means, thus avoiding hunting accidents.
In another embodiment, not only the type of target, but specific targets can be identified. For example, a police officer's weapon could be trained to know what the officer (and/or other officers) looked like, and inhibit firing at that officer, so that the officer's weapon could not be used against the officer (or against other officers).
In yet another embodiment, with hand held weapons where the accuracy is dependent upon the stability of the user holding the weapon, the automated weapons system can provide a means to ‘correct’ for instabilities and inaccuracies in aiming to allow for automated correction of the ‘barrel’ (and/or for instructions to the user) to correct for said instabilities and inaccuracies in aiming and movement of the barrel.
This invention also relates to mobile war-fighting technology, and more particularly to enhanced weapon accuracy technology, especially for hand held weapons.
A plethora of targeting sensors allows a wide spectrum of sensing beyond the visible spectrum, such as IR, SPI (Spacial Phased Imaging), UV (ULTRAVIOLET), X-Ray, Microwave, Thermal, 3D sensor, Visible light, Radar, Sonar, LIDAR, etc. [For further examples, see the catalog on “Image Sensors”, from Hamamaatsu, December, 2011).] Targeting sensors allow shooting at targets through fog, smoke, rain, and other vision obstructing conditions. This effectively provides an ‘all weather/all conditions’ targeting system. The sensors can also be used to identify not only a target, but the type of target. One means of doing this utilizes neural net pattern recognition means to identify the type of target (person, animal, tank, etc.)
Neural nets can be used both to identify targets, and to compute firing solutions. Alternatively, or additionally, traditional computing means, can be employed in the targeting subsystem for identifying and selecting targets. Neural nets can be used to both reduce the power used, and reduce the compute time for identifying and selecting a target.
There is literature teaching the use of neural nets in the use of target identification and tracking. For example, IBM has been working on a new hybrid technology of blending traditional computing architectures with neural nets to achieve a ‘best of both worlds’ processing system. This system could be utilized in the targeting subsystem for identifying targets, tracking targets and computing firing solutions.
This enhanced targeting and aiming system of the present invention can be applied to many different types of ‘pointing’ weapons: ballistic (gun), laser, particle, rail gun, etc.
This present invention also provides for correcting an error in aim adjustment as between where the weapon is aimed, providing a correction factor to the nearest target. Applying that correction factor by means of automated pointing adjustment can be applied to a wide range of weapons. Thus, the weapons aim can be automated in accordance with the present invention.
In one embodiment of the present invention, a targeting system selects a nearest target in a field of view. The targeting system computes a difference between where the weapon is aimed and where the nearest target is located to generate targeting correction information. The direction the weapon is aimed is adjusted based on the targeting correction information provided.
Alternatively, the targeting system can identify and lock onto a selected type of target, and then aim the weapon to fire a selected munitions at that selected type of target.
This invention also relates to enhanced weapon accuracy, and providing new features for band held weapons to the mobile warfighter, this provides accuracy, while:
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- 1. Not requiring the skill of becoming a marksmanship from human training, by using a deterministic automated mechanical solution (every warfighter becomes a marksman by using this weapon).
- 2. Improving the hit to miss ratio using computer aided targeting (thus, reducing the need for the warfighter to carry burdensome amounts of ammunition).
- 3. Using existing ammunition (not requiring complicated and expensive smart munitions).
- 4. Increasing the versatility of the weapon by automatically choosing the munitions fired based on the target type that is acquired (i.e. The weapon selects the type of munition fired based on the type of target identified).
- 5. Automatically selecting a ‘best’ target from the field of view of the weapon (i.e. The weapon chooses the best available target based on selectable algorithms, including ‘nearest’ target in the direction of the barrel if the weapon is not directly aimed at a target).
As illustrated in
The target field/area of sighting 230 is scanned by sensors 204 for potential targets 270. Some of these multiple sensors 204 can include, but are not limited to IR (infrared), spatial phase imaging, laser, optical, LIDAR (laser imaging detection and ranging), etc. There is no restriction as to the type of sensors 204 that can be used in the weapons system 200. Each additional sensor 204 adds more information to determine the type of target and target selection of the selected target 220.
As illustrated in
As illustrated in
As illustrated in
As illustrated in
As illustrated and discussed in
In one embodiment, once a target 220 is selected, the computing means 250 determines an error correction (218) from where the “weapons barrel” 210 is aimed, to where the target 220 will be. This can also include compensation for environmental, motion and other factors that can affect the shot. In some embodiments, at the time of firing, the computing means 250 supplies an error or “correction” signal 218 to actuators 280 to move the weapons “barrel” 210.
In another embodiment, the Automated Weapon System 200 is activated when an accelerometer 290 detects that the weapon 200 is raised.
The type(s) of sensors 204 that can be used for this automated weapon system 200 are similar to sensors used for autonomous vehicles. [For examples of sensors for autonomous vehicles, see (https://www.sensorsmag.com/comnponents/optical-sensors-are-a-key-technology-for-autonomous-car).]
In another embodiment, a “best shot” can be selected based on a mode of weapon operation. A mode of weapon operation as discussed herein, can be selected based on mission objectives. A manual mode embodiment enables the user to “force” on the weapon, a preferred mode of weapon operation. This can override an otherwise automated setting, while still allowing the automated setting of the automated weapon to assist (such as with target selection). For example, a war fighter (operator) can select “High Explosives” as the munitions, while still allowing the automatic selecting of targets (of any type of target) and providing correction to hit those targets.
In another embodiment of a fully automatic mode of operation, a war fighter can pull the trigger and sweep the weapon across a field of targets. At the time of firing for each munition, a target (e.g. a best target) is selected. In some embodiments, a best munition for the selected target is selected/prepared, and in other embodiments, the correction factor 218 (firing solution) for that target 220 is computed and applied, and then the weapon fires. Then the automated weapon system 200 proceeds to select a next available target, repeating the process as needed.
The present invention's enhanced targeting and aiming system (and methodology) can be applied to many different types of ranged weapon systems including but not limited to: projectile (firearms, railguns, etc.), directed energy (laser, plasma, microwave, sonic etc), and non-lethal (rubber-bullets, paintballs, pepper balls, etc.), handheld and otherwise.
The targeting system 201b utilizes a sensing means (i.e. sensors) 204b providing sensing of potential targets 220a through environment. The sensing means 204b senses through environment 214b by means of at least one of: visible spectrum, and sensing other than just the visible spectrum, comprising at least one of IR, Spatial Phased Imaging, ULTRAVIOLET, X-Ray, Microwave, Thermal, 3D sensor, Visible light, Radar, Sonar, and LIDAR surveying technology that measures distance by illuminating a target with a laser light.
As illustrated in
In an alternate embodiment, as illustrated in
As illustrated in
A user/operator holds the human transported automatic weapons system 410.
The user then aims the weapon towards potential targets (or target) 420, initiating the targeting subsystem 300 to provide two options:
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- 1. 430 The weapon 400 selects at least one target 350 in the area of sighting 430, or
- 2. 440 The user/operator selects the target 350 via the display 306 in the area of sighting 330
Depending on the selected option, the weapon then determines what adjustment of aim is needed to strike the target 450.
400 Using the computational subsystem logic 460 the weapon computes the difference between the aim to strike the target and the aim of the barrel, providing two options:
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- 1. 470 The user can fire the weapon by pulling the trigger to activate the trigger signal, or
- 2. 480 The weapon is fired remotely by a remote device activating the trigger signal
490 The weapon 100 further adjusts the barrel aim responsive to a computed difference between the target aim and the barrel aim. The weapon 300 then releases munitions (499) now aimed to hit the target.
In another embodiment, as illustrated in
In one embodiment, target selection can be based upon a level of potential threats list.
In another embodiment, target selection is limited to targets within a range of barrel correction to assure the munition can hit a selected target.
A variety of means can be used to select a target, including but not limited to:
-
- the target closest to aim of weapon (or center of the field of sensor)
- the most lethal or threatening target
- the deadliest target
- the nearest target
- etc . . .
- the best shot (easiest to hit)
- most effective (target which is most susceptible to weapon)
- by type of target
- Armor
- Human
- Bunker
- etc
- By type of munitions available
Subsequently, the chosen target is tracked to determine where the projectile needs to be aimed to strike the chosen target when fired by the automated weapon system 100.
In one embodiment, as illustrated in
Referring to
The targeting subsystem is responsive to sensors 714 which can be used to identify a target and to identify the type of target by coupling the sensors 704 to a neural net pattern recognition means 701 that can identify the type of target (i.e. person, animal, tank, vehicle, etc.). One way this can be done is using a 1024 Neuron Semiconductor Chip CM1K from Cognimem (http://www.digikey.com/en/product-highlight/c/cognimem/1024-neuron-semiconductor-cm1k). Cognimem's system can take sensor data fed to their neural net ASIC, which can be sensor data processed as discussed herein, to process the sensor data to both identify and track a target.
In a preferred embodiment, the present invention's weapon system is comprised of sensors coupled with a computing means to control adjustment of an aiming means. In one embodiment, this mechanism is a barrel portion of the weapons system that guides a munition towards an intended target, so as to achieve a bit on said target.
In another embodiment, correction of aim after a first shot is provided by generating an error correction and applying it to the barrel through the positioning means.
Sensor data 704 is evaluated by a computing means 740. In one embodiment, the computing means 740 includes neural net processing. Neural nets 700 can operate directly on the sensor data 704 producing outputs including, but not limited to, ‘target selection’, ‘target priority’, ‘target tacking data’, etc.
In another embodiment, neural nets 701 are used to increase speed [reduce the compute time] needed for identifying and selecting a target and to reduce power. In one embodiment, specific targets 702, (by type or by ID specifically) can be identified as potential threats or not. Targets that are not threats or identified as “friendly” are then removed from potential threats lists.
As illustrated in
The barrel 802 is responsive to the computational subsystem 840 and provides adjustment by the positioning means 804. The positioning means 804 can be mechanical, semi-automatic, and/or automatic and can utilize actuators of varying types (i.e. electrical, thermal, magnetic, mechanical, pneumatic). The barrel 802 can refer to the exiling path for a multitude of weapons systems, including but not limited to: projectile (firearms, rail-guns, etc.), directed energy (laser, plasma, microwave, sonic etc.), and non-lethal (rubber-bullets, paintballs, pepper-balls, etc.). This embodiment of system 800 can be applied to human transported automated weapon systems 100, mobile automated weapon systems [such as drones (air, ground, etc.)], and traditional mounted weapons. A major benefit of the present invention is that it can utilize preexisting munition packages and as such, does not require changes to the munitions supply chain.
As illustrated,
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- a) At time 1, 910, the aim of the first shot 902 is fired, and the trajectory is such that the target 936 was missed.
- b) At some later time 2, 920, the system computes an error correction 906, based on the sensor 104 feedback on the current position of the target 136 and the sensor 104 feedback on the location (error correction, 906) that resulted from aim of the first shot 902.
- c) At a later time 3, 930, the computed error correction 906 is applied to generate a control signal to cause the barrel 920 to be adjusted 908.
As illustrated in
In accordance with another embodiment of the present invention as illustrated in
The targeting subsystem 1002 selects a selected target 220 from a plurality of identified targets in the area of sighting 230.
-
- antipersonnel munitions 1103 for human combatants 1104
- armor piercing munitions 1105 for armor targets 1106
- high explosive munitions 1107 for structures (buildings), or bunkers 1108
- etc.
Tin accordance with one aspect of the present invention, the automatic munitions selection can be overridden and manually selected. For example, a manual selection of high explosive munitions 1109 can be chosen for human targets 1110. Range 1112 can also be calculated by manually selecting a tracer round 1111 to acquire data to improve accuracy of the shot of the munitions.
As illustrated in
As illustrated in
Once the target 120 is selected, computing means 400 determine the error correction from where the “barrel” 102 is aimed, to where the target will be. This can include compensation for environmental, motion, and other factors that can affect the shot.
At time of firing, the computing means 400 supplies “correction” signals to actuators to direct the weapon “barrel” 102 to a designated spot 1816/1818 on the target. The designated spot 1816/1818 on the target 120 can be selected to inflict damage ranging from lethal 116 to sum 1818 (incapacitate).
At time of firing, or at time of ‘new target acquisition, the computing means 400 also selects the appropriate munitions 202 per the type of target selected. Appropriate munitions 1104 could account for armor piercing for armored targets, anti-personal for humans, high explosive for structures, etc.
As illustrated in
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As illustrated in
In
In another embodiment, as illustrated in
If the selected target is not valid, then a no shoot scenario 1408 is activated. The no shoot scenario 1408 can be as simple as an alert delivered to the user, or the automated weapons system 100 can inhibit the activation of a firing sequence.
In an alternative embodiment, the no shoot scenario can prevent mass shootings at designated targets (target types), such as human 1465, or shootings for all target types 1102, to inhibit firing of the weapon.
In another embodiment, the target type 1102 (from
In another embodiment, in a law enforcement situation, police 1428 can utilize the Automated Weapons System 100 to determine if a selected target is a civilian 1432 or is another policeman officer 1428, rather than a suspect 1430, to inhibit firing as appropriate.
In addition, in a military situation 1416, soldiers can identify who is an enemy 1418 or who is friendly 1420. Similarly, for a terrorist situation 1422 (left column of table), the automated weapon system 100 distinguishes whether to shoot a terrorist 1424 (middle column of table), and avoids shooting hostages 1426 (right column of table).
Since the selected target type 1102 can be identified (friend, foe, animal, vehicle, etc.) indicating if the target is valid 1406 can prevent hunting accidents and friendly fire.
The user can then specify what type of munitions 1101 (e.g. anti-personal, armor piercing, etc.) to use for the selected valid target 1410. Thus, the automated weapon system can determine the difference between: a game animal 1412 and another hunter 1412, or between an ally 1420 and an enemy combatant 1418, or between a truck and a tank 1106 (armored), etc. which provides the ability for the user (or automated weapon system 100) to respond accordingly.
The targeting subsystem 1404 is responsive to sensors 104 which can be used to identify a target 120, and to identify the type of target 1460 by way of coupling the sensors 104 to a neural net pattern recognition means 701 that can identify the type of target (i.e. person, animal, tank, vehicle, etc.). As discussed earlier herein, one way this can be done is using a 1024 Neuron Semiconductor Chip CM1K from Cognimem (http://www.digikey.com/en/product-highlight/c/cognimem/1024-neuron-semiconductor-chip-cm1k). Cognimem's system can take sensor data fed to their neural net ASIC, which can be sensor data processed as discussed herein, to process the sensor data to both identify and track a target.
As illustrated in
In one embodiment, as illustrated in
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In one embodiment, as illustrated in
From the foregoing, it will be observed that numerous variations and modifications may be effected without departing from the spirit and scope of the invention. It is to be understood that no limitation with respect to the specific apparatus illustrated herein is intended or should be inferred. It is intended to cover by the appended claims, all such modifications as fall within the scope of the claims.
Claims
1. A weapons system comprising:
- a plurality of weapon subsystems, wherein the plurality of weapon subsystems are comprised of at least one human transported weapon subsystem and at least one other weapon subsystem, wherein each said weapon subsystem has a respective field of view, each said weapon subsystem providing for firing a munitions from the respective said weapon subsystem;
- control logic, linking communications among multiple of the weapon subsystems;
- a targeting subsystem, providing a selected target responsive to computing a best shot selected from up to a plurality of possible shots in the field of view selected for each of the linked said weapons subsystems, responsive to the communications, and, responsive to mapping by identifying which of the weapon subsystems is a selected said weapon subsystem that is in position to provide a best shot for each said possible shot;
- computational logic, determining where to aim the munition from each said selected said weapon subsystem, responsive to the targeting subsystem;
- a positioning subsystem, adjusting the aim of the selected weapon subsystems to compensate, as needed, for where the selected target is when firing the munitions at a firing time, responsive to the computational logic, and
- firing logic, actuating firing of the munitions from each said selected weapon at the firing time responsive to the targeting subsystem, and the positioning subsystem.
2. The system as in claim 1,
- wherein the targeting system selects a plurality of chosen said weapon subsystems responsive to sequencing through multiple possible targets to identify which said weapon subsystem is in a best position to provide a respective said best shot for each said possible target,
- wherein the computational logic determines where to aim the munitions for each said chosen weapon subsystem,
- wherein the positioning subsystem adjusts the aim for each of the selected plurality of chosen said weapon subsystems, and,
- wherein the trigger activation logic determines when to activate firing at the firing time and activates the firing at the firing time for each of the selected plurality of chosen said weapon subsystems.
3. The system as in claim 1,
- wherein a respective identified said best shot is identified separately for each of a plurality of said selected weapon subsystems,
- wherein the munitions is fired from each of said plurality of said selected weapon subsystems targeted for its respective said identified said best shot.
4. The system as in claim 1,
- wherein the targeting subsystem acquires target data, from a plurality of sensors for at least one said target as said selected target;
- wherein the targeting subsystem recognizes the type of target responsive to analyzing the target data to provide recognition of each said acquired target;
- wherein the human transported weapon subsystem has up to a plurality of types of munitions available;
- wherein the computational logic chooses the selected target from the acquired targets based on current availability of the types of munitions available at the human transported weapon subsystem and chooses a selected munition for the selected target from the types of the munitions available;
- wherein the positioning means adjusts the aim of the weapon so that the selected munition will hit the selected target; and,
- wherein the firing subsystem then fires the selected munition at the chosen target.
5. The system as in claim 1, further comprising:
- detection logic detecting a no-shoot situation prior to the firing of the munitions; and,
- inhibit logic preventing the firing logic from firing the munitions, responsive to the detection logic detecting a no-shoot situation.
6. The system as in claim 1, further comprising:
- means for finding and identifying a plurality of possible said targets within an area of sighting, and
- means for selecting which at least one of said targets in the area of sighting is the selected target, and
- means for tracking the selected target to determine where the munitions needs to be aimed to strike the selected target at the firing time.
7. A method of utilization of a plurality of weapon subsystems, wherein each said weapon subsystem has a respective field of view, wherein the plurality of weapons subsystems are comprised of at least one human transported weapon subsystem and at least one other weapon subsystem, the method comprising:
- linking communications among multiple of the plurality of the weapon subsystems;
- choosing a selected target responsive to computing a best shot selected from up to a plurality of possible shots in the field of view, selected for each of the linked said weapons subsystems, responsive to the communications, responsive to mapping by identifying which of the weapon subsystems is a selected said weapons subsystem that is in a best position to provide a respective said best shot;
- determining where to aim the munition from each said selected said weapons subsystem, responsive to the choosing of the selected target;
- adjusting the aim of the human transported weapon to compensate, as needed, for where the selected target is when firing the munitions at a firing time, responsive to the determining where to aim the munition, and
- actuating firing of the munitions from each said selected weapon subsystem at the firing time responsive to the choosing of the selected target, the determining where to aim the munition and the actuating firing of the munitions.
8. The method as in claim 7,
- wherein the choosing a selected target, selects from a plurality of chosen said weapons subsystems responsive to sequencing through multiple possible targets to identify which said weapon subsystem is in a best position to provide a respective said best shot for each said possible target.
9. The method as in claim 7,
- wherein the determining where to aim the munition determines where to aim the munitions, for each of the selected plurality of chosen said weapons subsystems, and,
- wherein the actuating firing determines when to activate firing for each of the selected plurality of chosen said weapon subsystems.
10. The method as in claim 7,
- wherein a respective said identified best shot is identified separately for each of a plurality of said selected weapon subsystems,
- wherein the munitions is fired from each of said plurality of said selected weapon subsystems targeted for its respective said identified best shot.
11. The method as in claim 7,
- wherein the target data is acquired from a plurality of the sensors for at least one said target as said acquired target;
- wherein the choosing a selected target also recognizes a type of target to provide recognition of each said acquired target;
- wherein the human transported weapon subsystem has up to a plurality of types of munitions available;
- wherein the chosen target is chosen from the acquired targets based on current availability of the types of available munitions at the human transported weapon subsystem,
- wherein a selected munition is chosen for the chosen target from the types of the munitions available;
- wherein the adjusting the aim then adjusts the aim of the human transported weapon so that the selected munition will hit the selected target; and,
- wherein the firing subsystem then fires the selected munition at the selected target.
12. The method as in claim 7, further comprising:
- detecting a no-shoot situation prior to the firing of the munitions; and
- preventing the firing logic from firing the munitions, responsive to the detection logic detecting a no-shoot situation.
13. The method as in claim 7, further comprising:
- finding and identifying a plurality of possible said targets within an area of sighting;
- selecting which of said targets in the area of sighting is the selected target, and tracking the selected target to determine where the munition needs to be aimed to strike the selected target at the firing time.
14. The method as in claim 7,
- wherein the adjusting the aim of the human transported weapon determines the adjusting of the aim for each of the selected plurality of chosen said weapons subsystems.
15. A system for utilization of a plurality of weapon subsystems, wherein each said weapon subsystem has a respective field of view, wherein the plurality of weapons subsystems is comprised of at least one human transported weapon subsystem and at least one other weapon subsystem, the system comprising:
- means for firing a munitions from a respective said weapon subsystem, for at least one to all said respective said weapon subsystems;
- means for linking communications among multiple of the weapons subsystems;
- means for selecting a selected target responsive to computing a best shot for each of the linked said weapons subsystems, selected from up to a plurality of possible shots in the field of view, selected as a respective selected target, responsive to the communications, and responsive to identifying which of the weapon subsystems is a selected said weapons subsystem that is in position to provide a best shot for each respective said selected target;
- means for determining where to aim the munition from each said selected said weapon subsystem, responsive to the providing the selected target therefor;
- means for adjusting the aim of the human transported weapon to compensate, as needed, for where the selected target is when firing the munitions at a firing time, responsive to the determining where to aim the munition, and
- means for actuating firing of the munitions from each said selected weapon at the firing time at the selected target.
16. The system as in claim 15,
- wherein the means for selecting a selected target selects a plurality of respective said selected targets, for each of a plurality of said respective said weapon subsystems chosen, responsive to sequencing through multiple possible targets to identify for each of said plurality of said respective said weapon subsystems to determine which of said respective said weapon subsystems is in a best position to provide a respective said best shot for each said possible target.
17. The system as in claim 15,
- wherein the means for determining where to aim the munition determines where to aim the munition for each of the selected plurality of chosen said weapons subsystems,
- wherein the means for adjusting the aim determines the adjusting of the aim for each of the selected plurality of chosen said weapons subsystems, and,
- wherein the means for actuating firing determines when to activate firing at the firing time for each of the selected plurality of chosen said weapon subsystems.
18. The system as in claim 15,
- wherein a respective said identified best shot is identified separately for each of a plurality of said selected weapon subsystems,
- wherein the munitions are fired from each of said plurality of said selected weapon subsystems targeted for its respective said identified best shot.
19. The system as in claim 15,
- wherein the system acquires target data, from a plurality of sensors for at least one target as said selected target;
- wherein the means for selecting a selected target recognizes a type of target responsive to analyzing the target data to provide recognition of each said selected target;
- wherein the human transported weapon subsystem has up to a plurality of types of munitions available;
- wherein the means for selecting a selected target chooses the selected target based on current availability of the types of munitions available at the human transported weapon subsystem and chooses a selected munition for the selected target from the types of the munitions available;
- wherein the aim of the human transported weapon is adjusted so that the selected munition will hit the selected target; and,
- wherein the firing subsystem then fires the selected munition at the selected target.
20. The system as in claim 15, further comprising:
- detection logic, detecting a no-shoot situation prior to the firing of the munitions; and,
- inhibit logic preventing the firing logic from firing the munitions, responsive to the detection logic detecting a no-shoot situation.
21. The system as in claim 15, further comprising:
- means for finding and identifying a plurality of possible said targets within the area of sighting,
- means for selecting which of said targets in the area of sighting is the selected target, and
- means for tracking the selected target to determine where the munitions needs to be aimed to strike the selected target at the firing time.
Type: Application
Filed: Jun 10, 2020
Publication Date: Dec 30, 2021
Inventors: David H. Sitrick (Pacific Palisades, CA), Brett C. Bilbrey (Sunnyvale, CA)
Application Number: 16/898,302