Disclosed are systems and techniques for extended reality optimizations using radio frequency (RF) sensing. An example method can include obtaining RF sensing data; determining, based on the RF sensing data, reflected paths of one or more reflected RF signals, each reflected RF signal including a reflection of a transmitted signal from one or more objects in physical space; comparing the one or more reflected paths, to a field-of-view (FOV) of an image sensor of the device; and based on the comparison, triggering an action by the device and/or the image sensor.

A personal proximity warning device for warning a user of a rear approach of a person includes a housing that is removably attachable to an item worn by the user. A camera and a sensor attached to the housing capture an image of and sense motion within an area proximate to the user. A battery, a transceiver, and a microprocessor are positioned in the housing. The microprocessor selectively actuates the camera and the transceiver to capture and transmit the image of the area, respectively, and actuates the transceiver to transmit an alert. Programming code, which is selectively positionable on an electronic device of the user, enables the electronic device to receive the alert and the image, to override audio to earbuds being worn by the user, and to broadcast the alert to the user via the earbuds.

A system having a perception of its general environment is described. The general environment may include its surroundings, circuits, power supply, optics, emitters, software processing, and other things that may affect its perception system or sensors and biases associated with data processing. With this information, it may be able to adapt to the general environment with little human intervention. Dynamic updating and calibration of the environment or sensors in the environment may be provided. From one time frame to another, location or other information can be more efficiently rendered or decoded. Knowing the spacing of receivers may allow time delay calculations. Real world environmental changes may impact the relative location and or properties of these sensors. Observation or communication of these changes can be used to predict assembly and processing or projection of energies for a desired effect.

A transmitter for communication-less bistatic ranging includes a photon emitter configured to emit a plurality of photons at particular times in a pointing direction, and a processor configured to identify a particular sub-code of a plurality of sub-codes based on a dynamic state of the transmitter, each one of the plurality of sub-codes including a portion of a long optimal ranging code, generate a plurality of encoded pulse timings by dithering pulse timings from a nominal repetition frequency based on the particular sub-code, and control the photon emitter to emit the plurality of photons at the plurality of encoded pulse timings.

The invention concerns a system (100) and a method for estimating the geographic position of a target (1). The method comprises the following steps: detecting a target (1); determining the characteristics of the target (1), which characteristics at least comprise a geographic position (3) and a category of the target; tracking the detected target (1) until at least one certain predetermined criteria is not fulfilled, wherein said criteria is associated to the level of certainty for determining the geographic position (3) of the target (1). The method further comprises determining a first point in time t.sub.1 when the predetermined criteria was last fulfilled, wherein, for a second point in time t.sub.2 the following step is performed: creating a pattern (2) defining at least one possible geographic position (3) of the target (1), said pattern (2) extends at least partially around the geographic position (3) of the target (1) at t.sub.1, wherein the dimension of said pattern (2) is determined based on at least one predetermined parameter.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

A distributed integrated sensing and communication (DISC) module for an autonomous vehicle is described herein. The DISC module includes at least a first sensor system, a second sensor system, a processor, and memory. The first sensor system and the second sensor system are different types of sensor systems. The first sensor system outputs a first sensor signal, and the second sensor system outputs a second sensor signal. The DISC module can detect and track an object (or objects) based on the first sensor signal and the second sensor signal. Moreover, the DISC module can output data indicative of the object as detected. In the DISC module, the first sensor system, at least a portion of the second sensor system, the processor, and the memory are integrated on a single substrate.

A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

A maritime radar system is provided, comprising a transmitter, a receiver, and one or more processors arranged to provide range and azimuth discrimination of a detection area by performing a delay/Doppler analysis of the echo of a single beam transmitted by the transmitter and received by the receiver.

A lidar trigger device and method of operating a lidar trigger device that includes: a controller having a processor and memory, the memory storing computer instructions; a wireless communications device; a lidar unit having a light emitter and light detector; an electronic display; and a housing that surrounds the controller, the wireless communications device, the lidar unit, and the electronic display. When the computer instructions are executed by the processor, the lidar trigger device is configured to: cause light to be transmitted from the light emitter of the lidar unit; cause reflected light that is received at the light detector to be processed; determine whether the lidar unit was triggered based on processing of the reflected light; in response to determining that the lidar unit was triggered, generate a trigger reporting message; and send the trigger reporting message to a remote device via the wireless communications device.