An electronic system for a firearm includes a power source, one or more electrical conductors electrically connected to receive power from the power source, and a plurality of electronic devices. Each electronic device has an electrical input configured to receive power from the one or more electrical conductors to power the electronic device. A communication device is configured for data communication across the one or more electrical conductors. A method of communicating between electronic devices connected to a firearm includes powering a plurality of electronic devices connected to a firearm from a power source through one or more electrical conductors, and communicating data between the plurality of electronic devices across the one or more electrical conductors.

Systems and methods for a weapon mountable tactical heads-up display (HUD) are provided. The HUD may include a 9 degrees of freedom (9DOF) sensor, a target library, and a target finder visualization. The target library may store respective ballistic information for each target of a plurality of targets. The respective ballistic information may include a target vector for each target of the plurality of targets. The target vector may be calculated based on data received from the 9DOF sensor. The target finder visualization may allow a shooter to locate a selected target of the plurality of targets. The target finder visualization may be based on the target vector.

A DE energy weapon and tracking system includes a passive millimeter wave (PmmW) imaging receiver on a common gimbaled telescope to sense natural electromagnetic radiation from a mmW scene. The PmmW imaging receiver operates in a portion of the electromagnetic spectrum distinct from the IR bands associated with thermal blooming or the HEL laser. In the case of a HPM source, the reflected energy is either in a different RF band and/or of diminished amplitude such as to not interfere with operation of the PmmW imaging receiver. Although lower resolution than traditional optical imaging, PmmW imaging provides a viable alternative for target tracking when the DE weapon is actively prosecuting the target and provides additional tracking information when the DE weapon is not engaged.

Several examples of a dual remote control and crew-served weapon station are described herein that uniquely provide different operating modes, any one of which can be quickly and efficiently selected based on outputs from various system sensors (e.g., switches and buttons). For example, a first operating mode is a mode in which the weapon is remotely steered and fired (e.g., remote controlled). A second operating mode is a mode in which a weapon cradle is stabilized by a gimbal and the weapon is aimed and fired by a local operator (e.g., crew-served stabilized). A third operating mode is a mode in which the cradle is manually steered and the weapon is fired by the local operator (e.g., full manual).

One example provides a target classification system comprising a display subsystem configured to display an image captured by a camera of an in-field device. The image includes one or more targets. The target classification system is configured to receive a user input indicating a location of the one or more targets in a screen space coordinate system of the display subsystem. Location information in a world space coordinate system is determined by receiving a pose of the camera; using the pose of the camera and the location in the screen space to trace a ray; and using at least a position of the camera and an orientation of the ray to generate coordinates in the world space. Target classification information is determined, and targeting data is output comprising the coordinates in the world space and the target classification information.

Examples are disclosed that relate to target classification systems, weapons, and methods for classifying a target. One example provides a target classification system comprising a user device, a user input device, a pose sensor fixed to the user device, a processor, and a memory storing instructions executable by the processor. A visual alignment aid indicates a line of sight to one or more of a plurality of targets. The user input device is configured to receive at least a first input type and a second input type. The instructions are executable to receive a user input and determine the pose of the line of sight. The one or more targets are tagged with a first target classification when the first input type is received and tagged with a second target classification when the second input type is received. The instructions are further executable to output targeting data to another device.

Systems, devices, and methods for determining a predicted impact point of a selected weapon and associated round based on stored ballistic information, provided elevation data, provided azimuth data, and provided position data.

A system includes and maintains a machine learning algorithm. The machine learning algorithm is trained to identify non-targets in an environment. The system receives an image of the environment, and identifies the non-targets in the image using the trained machine learning algorithm. The system then generates a firing cut out map for overlaying on the image of the environment based on the identified non-targets in the image of the environment.

An apparatus to improve a situational awareness of a pilot or driver controlling a vehicle using a control appliance. The control appliance includes a display for depicting surroundings of the vehicle, and the vehicle includes a missile warner and a sensor for fine tracking (FTS) configured to provide high-resolution images for a tracking of an approaching missile detected by the missile warner. The apparatus also includes a control unit, configured to couple a directable line-of-sight of the FTS with the display, and to employ the high-resolution images of the FTS to improve the depiction of the surroundings of the vehicle on the display.

Video sources and inertial sensors are attached to a weapon and to goggles. A computer receives video images from the weapon- and goggles-mounted sources and inertial data from the sensors. The computer calculates a location for an image from the weapon-mounted source within an image from the goggles-mounted source using the inertial sensor data. The sensor-based location is checked (and possibly adjusted) based on a comparison of the images. A database contains information about real-world objects in a field of view of the goggles-mounted source, and is used to generate icons or other graphics concerning such objects.