Abstract: The disclosed computer-implemented method may include receiving, from devices in an environment, real-time data associated with the environment. The method may also include determining, from the real-time data, current mapping and object data. The current mapping data may include coordinate data for the environment and the current object data may include both state data and relationship data for objects in the environment. The method may also include determining mapping deltas between the current mapping data and baseline map data and determining object deltas between the current object data and an event graph. The event graph may include prior state data and prior relationship data for objects. The method may also include updating the baseline map data and the event graph based on the deltas and sending updated baseline map data and event graph data to the devices. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A head mounted display (HMD) dynamically generates a model of an area. The HMD includes a depth camera assembly (DCA), a color camera, and a processing circuitry. The processing circuitry receives, from the DCA, a frame of depth image data, generates a depth map of a portion of the area based on the frame of the depth image data, receives a frame of color image data from the camera, determines a location in a model of the area that corresponds with the portion of the area of the depth map based on the frame of the color image data, and update the model of the area by combining the depth map of the portion of area with one or more other depth maps of one or more other portions of the area based on the location in the model.

Abstract: A system includes an eyewear device configured to present content to a user. A processor is communicatively coupled to the eyewear device. A bracelet device is communicatively coupled to the processor, and includes at least one sensor configured to determine a position signal in response to movement of a user's hand. A depth camera assembly is communicatively coupled to the processor, and configured to emit a waveform into an environment of the user, and capture a plurality of optical signals from the waveform reflected off of at least one object in the environment. The processor is configured to determine a position of the user's hand in relation to the environment based in part on the position signal and the plurality of optical signals.

Abstract: A sensor apparatus may include an array of protruding members that each extend outward in a different radial direction from a central axis, each protruding member including a projector that projects structured light into a local environment, one or more cameras that capture reflections of the structured light from the local environment, and another camera that captures visible-spectrum light from the local environment. The sensor apparatus may also include one or more localization devices for determining a location of the sensor apparatus. Various other apparatuses, systems, and methods are also disclosed.

Abstract: A system includes an eyewear device configured to present content to a user. A processor is communicatively coupled to the eyewear device. A bracelet device includes a first tracking sensor configured to determine a position signal in response to movement of the user's hand. The bracelet device is communicatively coupled to the processor. The processor determines a pose of the user's hand based in part on the position signal.

Abstract: A head-mounted display (HMD) system includes a projector assembly configured to emit a structured light (SL) pattern onto one or more objects in a local area, the projected SL pattern comprises at least a first SL pattern having a first field of view (FOV) corresponding to a first tileable boundary, and a second SL pattern having a second FOV corresponding to a second tileable boundary. The first and second SL patterns are projected such that the first and second tileable boundaries share at least one edge and collectively define a non-planar surface. A detector assembly is configured to capture one or more images of the one or more objects in the local area illuminated by the tiled SL pattern, such that a location of the HMD may be determined using the one or more captured images.

Abstract: Methods and systems for performing light measurement are disclosed. In one example, an apparatus comprises an array of pixel cells, each pixel cell of the array of pixel cells configured to perform a light measurement operation and to generate a digital output of the light measurement operation. The apparatus further includes a peripheral circuit configured to: receive a pixel array programming map including programming data targeted at each pixel cell of the array of pixel cells, and configure the light measurement operation at the each pixel cell based on the programming data targeted at the each pixel cell. The apparatus further includes an image processor configured to generate an image frame based on the digital outputs of at least some of the array of pixel cells.

Abstract: A system includes a wearable device including sensors arranged at different locations on the wearable device. Each sensor measures electrical signals transmitted from a wrist or arm of a user. A position computation circuit is coupled to the sensors. The position computation circuit computes, using information derived from the electrical signals with a machine learning model, an output that describes a hand position of a hand of the wrist or arm of the user.

Abstract: A depth camera assembly (DCA) includes a projector, a detector and a controller. The projector emits a tiled structured light (SL) pattern onto a local area. Each illumination source of the projector includes one or more light emitters and an augmented diffractive optical element (ADOE) designed with a pattern mask. The ADOE diffracts at least a portion of light beams emitted from the light emitters to form a first SL pattern projection having a field-of-view corresponding to a first tileable boundary. The pattern mask prevents projection of light that would otherwise be diffracted outside the first tileable boundary. The first SL pattern projection is combined with at least a second SL pattern projection into the tiled SL pattern illuminating objects in the local area. The detector captures images of the objects illuminated by the SL pattern. The controller determines depth information for the objects using the captured images.

Abstract: A depth camera assembly includes an illumination source assembly, a projection assembly, and an imaging device. The illumination source assembly emits light in accordance with emission instructions. The illumination source assembly includes a plurality of emitters on a single substrate. The projection assembly projects light from the illumination source assembly into a local area. The projection assembly includes an optical element that is positioned to receive light from a first emitter at a first angle and project the received light from the first emitter to a first depth zone in the local area, and to receive light from a second emitter at a second angle and project the received light from the second emitter to a second depth zone in the local area. The imaging device captures one or more images of the local area illuminated with the light from the illumination source assembly.

Abstract: A system includes an eyewear device configured to present content to a user. A processor is communicatively coupled to the eyewear device. A bracelet device is communicatively coupled to the processor, and includes at least one sensor configured to determine a position signal in response to movement of a user's hand. A depth camera assembly is communicatively coupled to the processor, and configured to emit a waveform into an environment of the user, and capture a plurality of optical signals from the waveform reflected off of at least one object in the environment. The processor is configured to determine a position of the user's hand in relation to the environment based in part on the position signal and the plurality of optical signals.

Abstract: A system includes an eyewear device configured to present content to a user. A processor is communicatively coupled to the eyewear device. A bracelet device includes a first tracking sensor configured to determine a position signal in response to movement of the user's hand. The bracelet device is communicatively coupled to the processor. The processor determines a pose of the user's hand based in part on the position signal.

Abstract: An imaging device operates as an event camera. The device includes an event sensor and a controller. The sensor comprises a plurality of photodiodes that asynchronously output data values corresponding to relative intensity changes within a local area. The controller populates an event matrix based in part on data values asynchronously received from the sensor and positions of photodiodes associated with the received data values over a first time period. The controller populates a change matrix based in part on a threshold intensity value and the photodiodes associated with the received data values over the first time period, and generates an image for the first time period using the event matrix and the change matrix.

Abstract: A system includes a wearable device including sensors arranged at different locations on the wearable device. Each sensor measures electrical signals transmitted from a wrist or arm of a user. A position computation circuit is coupled to the sensors. The position computation circuit computes, using information derived from the electrical signals with a machine learning model, an output that describes a hand position of a hand of the wrist or arm of the user.

Abstract: A depth camera assembly (DCA) includes a projector, a detector and a controller. The projector emits a tiled structured light (SL) pattern onto a local area. Each illumination source of the projector includes one or more light emitters and an augmented diffractive optical element (ADOE) designed with a pattern mask. The ADOE diffracts at least a portion of light beams emitted from the light emitters to form a first SL pattern projection having a field-of-view corresponding to a first tileable boundary. The pattern mask prevents projection of light that would otherwise be diffracted outside the first tileable boundary. The first SL pattern projection is combined with at least a second SL pattern projection into the tiled SL pattern illuminating objects in the local area. The detector captures images of the objects illuminated by the SL pattern. The controller determines depth information for the objects using the captured images.

Abstract: An imaging device operates as an event camera. The device includes an event sensor and a controller. The sensor comprises a plurality of photodiodes that asynchronously output data values corresponding to relative intensity changes within a local area. The controller populates an event matrix based in part on data values asynchronously received from the sensor and positions of photodiodes associated with the received data values over a first time period. The controller populates a change matrix based in part on a threshold intensity value and the photodiodes associated with the received data values over the first time period, and generates an image for the first time period using the event matrix and the change matrix.

Abstract: A depth camera assembly (DCA) includes a projector, a detector and a controller. The projector emits a tiled structured light (SL) pattern onto a local area. Each illumination source of the projector includes one or more light emitters and an augmented diffractive optical element (ADOE) designed with a pattern mask. The ADOE diffracts at least a portion of light beams emitted from the light emitters to form a first SL pattern projection having a field-of-view corresponding to a first tileable boundary. The pattern mask prevents projection of light that would otherwise be diffracted outside the first tileable boundary. The first SL pattern projection is combined with at least a second SL pattern projection into the tiled SL pattern illuminating objects in the local area. The detector captures images of the objects illuminated by the SL pattern. The controller determines depth information for the objects using the captured images.

Abstract: A depth camera assembly (DCA) captures data describing depth information in a local area. The DCA includes an array detector, a controller, and an illumination source. The array detector includes a detector that is overlaid with a lens array. The detector includes a plurality of pixels, the plurality of pixels are divided into a plurality of different pixel groups. The lens array includes a plurality of lens stacks and each lens stack overlays a different pixel group. The array detector captures one or more composite images of the local area illuminated with the light from the illumination source. The controller determines depth information for objects in the local area using the one or more composite images.

Abstract: A depth camera assembly (DCA) that captures data describing depth information in a local area. The DCA includes an imaging device, a controller, and an illumination source. The illumination source includes a plurality of emitters on a single substrate. The imaging device captures one or more images of the local area illuminated with the light from the illumination source. The controller determines depth information for objects in the local area using the one or more images.