Disclosed herein are sport and game simulation systems, and methods of use thereof. One exemplary method is performed at an electronic device and includes: identifying a current topography of a putting green and a current position of a first user's ball on the putting green. The method also includes: determining, based on the current topography, a best path from the current position of the first user's ball to a target on the putting green. The method additionally includes: sending, to a projecting device that is distinct from the electronic device, instructions to render a representation of the best path on the putting green. In some embodiments, the method further includes: determining a backswing distance and/or speed and a corresponding follow-through distance and/or speed that allows the first user to hit the ball along the best path and providing instructions to render the backswing and follow-through distances on the putting green.

A system and method are disclosed for offering a trainee presentation blending live and virtual entities to create a training scenario unconstrained by live entity operational performance and geographical limitations. The system blends an instance of a virtual entity with an actual presentation of a live entity within a trainee presentation. Outside of trainee local sensor range, the system presents a virtual entity to the trainee while occluding local sensor presentation of the live entity. As the scenario progresses to a lessor range or higher criticality, the system offers the live entity emulation information concerning characteristics of the virtual entity so the live entity may anticipate and begin to emulate the virtual. At a crossover point, the system determines if the live entity has successfully emulated the virtual and if so, discontinues presentation of the virtual while removing the occlusion allowing presentation of the live entity.

Physical and/or sensory skills may be trained by varying the quantity of sensory information available to an individual, the quality of sensory information available to an individual, and/or the difficulty of physical training performed by an individual. The difficulty of training may be varied using eyewear that alters the quality/quantity of visual information available and/or that provide a display that instructs the individual training to increase/decrease the difficulty of training tasks. The difficulty of training may be varied in response to measurements of the physiology and/or performance of an individual training.

A printed circuit card assembly (PCBA) configured for retrofitting a conventional electromagnetic locator device (ELD) for a simulator system is provided. The PCBA includes a printed circuit board (PCB), data connectors, each data connector configured for communicatively coupling with a separate one of antenna amplifiers on the conventional ELD, a low-power radio frequency (RF) receiver for receiving emulated electromagnetic (EM) field data, a processor for reading the emulated EM field data that includes constituent parts, wherein each constituent part corresponds to EM field data for a specific one of the antenna amplifiers on the conventional ELD, disassembling the emulated EM field data into its constituent parts, and transmitting to the antenna amplifiers, via the data connectors, the constituent part of the emulated EM field data that corresponds to said antenna amplifier, thereby emulating an EM field on the conventional ELD.

Method and device for supporting generation of scenarios for testing autonomous driving and/or advanced driver assistance system, AD/ADAS, functionality for real world vehicles. A device (101; 500) provides (301) a virtual environment (200) simulating an environment relevant for operation of vehicles having said AD/ADAS functionality and in which is operating: fully computer controlled movable virtual objects (230a-c), human controlled movable virtual objects (220) and at least one virtual AD/ADAS vehicle (210) operating according to said AD/ADAS functionality. The device allows (303) a user of the device (101; 500) to, via user interface (506), control said one or more human controlled movable virtual objects (220) during operation and thereby cause generation of scenarios that the virtual AD/ADAS vehicle (210) is subjected to.

The present disclosure generally pertains to time-of-flight simulation data training circuitry, configured to: obtain time-of-flight camera model data based on a time-of-flight camera model modelling a real time-of-flight camera of a real time-of-flight camera type; obtain real time-of-flight data from at least one real time-of-flight camera of the real time-of-flight camera type; determine a difference between the real time-of-flight data and the time-of-flight camera model data; and update, based on the determined difference, the time-of-flight camera model for generating simulated time-of-flight data representing the real time-of-flight camera.

Systems and methods for training firefighters and other first responders are provided. The systems include a plurality of sensors configured to detect at least one ambient condition, such as, temperature; a receiver configured to receive the electric signals from the plurality of sensors; and a digital storage device operatively connected to the receiver and adapted to store the electrical signals corresponding to the detected ambient conditions. The data detected by the sensors can be retrieved for later review, analysis, and training. The systems may include at least one video recorder and/or at least one infrared image recorder each configured to detect images that can be stored for later retrieval and a synchronizing device adapted to synchronize the sensor data with the recorded images for later review. Methods of implementing the systems and portable cases enclosing the system are also provided.

A method and system for training a person in the aiming of firearms at moving targets is described, the method including the steps of: providing at least one moving target; calculating the correct lead for the at least one target; displaying a visualisation of the correct lead to the person

A tracking system includes a host station and a sensor station. The sensor station includes transmitters transmitting an IR synchronous signal and IR laser signal. The system includes a head-mounted display and a tracked object, which has a plurality of object sensors. The tracked object determines its location and orientation relative to the sensor station based on the IR signals. The tracked object transmits the location and orientation to the host station. The host station determines an actual flight path of the tracked object during an object tracking event; generates a predicted flight path of the tracked object; and renders an image of a virtual object on a display of the head-mounted display. The image includes a virtual object corresponding to the tracked object, wherein the image is rendered in a VR environment such that the virtual object moves along the actual flight path and the predicted flight path.

A roping simulator (sometimes referred to as a roping or practice dummy or sled) is designed to mimic the natural movements and anatomy of roping cattle. Embodiments of the instant disclosure mimic the anatomy and movement of a roping cattle when the animal “washes out,” meaning that its back end slips and pivots during a turn. In various embodiments, the disclosed roping simulator also includes a feature whereby the head portion of the dummy rotates and pivots downward when a force is applied by a rope, simulating head movement of a live animal. In one embodiment, a sled assembly and a body assembly are connected to one another to form the roping simulator. The sled assembly is the component that makes contact with the ground. The body assembly is the component that provides roping targets, and that simulates the movement of live cattle.