Intel Corporation

Enlighted, Inc.

Interval Research Corporation

Vulcan Patents LLC

Tyzx, Inc.

Other

Building Robotics, Inc.

Gaile Gordon

John Iselin Woodfill

Tanuj Mohan

Michael Harville

Etienne Gregoire Grossmann

Trevor J Darrell

Harlyn Baker

Ronald John Buck

Michele Mae Covell

Pierre St Hilaire

William Kerry Keal

Steve John Clohset

Sanjeev Patel

David Walter Jurasek

Ali Rahimi

Michael Hongmai Lin

Terrence Lee Brown

Michael Neal Gershowitz

Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes identifying a physical shape of a structure or characteristics of the structure, sensing a condition of the structure, generating a first set of weighted likelihoods based on the physical shape of the structure or characteristics of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

Mobile tag sensing and location estimation

Apparatuses, methods, and systems for estimating a location of a tag are disclosed. One method includes sensing a first condition of a structure, sensing a second condition of the structure, generating a first set of weighted likelihoods based on the first sensed condition of the structure, wherein the first set of weighted likelihoods includes a weighted likelihood of the tag being at each one of a plurality of grid points within the structure, generating a second set of weighted likelihoods based on the second sensed condition of the structure, wherein the second set of weighted likelihoods includes a weighted likelihood of the tag being at each one of the plurality of grid points, generating a combined set of likelihoods based on the first set of weighted likelihoods and the second set of weighted likelihoods, and estimating a location of the tag based on the combined set of likelihoods.

An apparatuses, methods, and systems of determining a configuration of a lighting fixture are disclosed. One embodiment method includes setting a lighting control level of a first channel control line of the lighting fixture to a plurality of levels, setting a lighting control level of a second channel control line of the lighting fixture to a plurality of levels, sensing an amount of power dissipated by the lighting fixture, comparing the sensed amount of power dissipated for each of the plurality of levels, and determining a configuration of the lighting fixture based upon the comparing of the sensed amount of power for each of the plurality of lighting control levels for the first channel and the second channel.

Self-determining a configuration of a light fixture

Apparatuses, methods, apparatuses and systems for a light fixture are disclosed. One apparatus of the light fixture includes a sensor unit and a light intensity controller. The sensor unit includes a sensor operative to generate a sense signal based on at least one of sensed motion or light, wireless communication circuitry operative to maintain a link with a network, and a controller. The controller is operative to manage communication with the network, manage reception of beacons through the wireless communication circuitry, wherein the beacons are received from an object, and the beacons include information associated with the object, and generate dimming control base on at least one of the sensed signal and communication from the network. The light intensity controller is configured to receive the dimming control and operative to adjust an emitted light intensity of a luminaire of the light fixture.

Distributed fixture beacon management

Apparatuses, methods, apparatuses and systems for operating a control fixture are disclosed. One method includes generating a sense signal, maintaining a communications link between the control fixture and a network, tracking a location of a first mobile device, identifying the first mobile device being within a threshold distance of a second mobile device or a place, and allowing the first mobile device or a user of the first mobile device to receive information associated with the second mobile device or the physical place, or to provide information to be associated with the second mobile device or the physical place upon identifying the first mobile device to be within the threshold distance of the second mobile device or the place.

Associating information with an asset or a physical space

Apparatuses, methods, apparatuses and systems for operating a control fixture are disclosed. One method includes generating a sense signal, maintaining a communications link between the control fixture and a network, generating adjustment control based the sense signal or communication from the network, adjusting an environmental parameter of a structure of the control fixture based on the adjustment control, tracking a location of a first mobile device, identifying the first mobile device being within a threshold distance of a second mobile device or a place, and allowing the first mobile device or a user of the first mobile device to receive information associated with the second mobile device or the physical place, or to provide information to be associated with the second mobile device or the physical place upon identifying the first mobile device to be within the threshold distance of the second mobile device or the place.

Apparatuses, methods, apparatuses and systems for a light fixture are disclosed. One apparatus of the light fixture includes a sensor unit and a light intensity controller. The sensor unit includes a sensor operative to generate a sense signal base on at least one of sensed motion or light, wireless communication circuitry operative to maintain a link with a network, and a controller. The controller is operative to manage communication with the network, manage reception of beacons through the wireless communication circuitry, wherein the beacons are received from an object, and the beacons include information associated with the object, and generate dimming control base on at least one of the sensed signal and communication from the network. The light intensity controller is configured to receive the dimming control and operative to adjust an emitted light intensity of a luminaire of the light fixture.

Distributed light fixture beacon management

Methods, systems, and computer program products for determining, without interrupting a video processing pipeline, whether currently used warping parameters are appropriate for a multi-camera system. New warping parameters may be determined, where these parameters cause the images rectified with these new parameters to have the desired geometric properties. This determination may be made without interrupting the video processing pipeline. Warping parameters may be determined, for example, such that the epipolar lines of the two cameras are horizontal and properly aligned, as defined below, and the metric 3D position of a point observed by both cameras can be determined and is accurate.

Systems, methods, and computer program products for runtime adjustment of image warping parameters in a multi-camera system

Methods, systems, and computer program products to obtain a color image from a color filter array, such as, for example, a color filter array comprising a Bayer pattern. A method of image processing includes, for each pixel location (i,j) and for each color channel in a color image, determining a warped location (i',j&#x2032;) in a color filter array, and determining a color value of the color channel at location (i&#x2032;,j&#x2032;) in the color filter array. The method may further include storing the determined color value. The determining of the color value may include interpolating the color value of the color channel at location (i&#x2032;,j&#x2032;) in the color filter array. In this manner, a single interpolation operation set may be needed and an intermediate image may be avoided, saving memory, reducing processing time, minimizing artifacts, and reducing cost.

Systems, methods, and computer program products for compound image demosaicing and warping

Systems and methods to determine a disparity map using row causal scanline optimization stereo matching are presented. A method includes, for each corresponding pixel P between a pair of input stereo images, and for each considered disparity, determining a basic match cost and a match cost for each of a set of given orientations including an east orientation and one or more other orientations, determining an overall match cost for each pixel at each considered disparity based on a sum of the determined match costs for all considered orientations for each pixel and disparity pair, and determining a resulting disparity for each pixel based on a minimum of the determined overall match costs, where a subset of the determined resulting disparities becomes available prior to completion of the input images being read in, and where the resulting disparities for all pixels are determined in a single pass through the input images.

Systems and methods for row causal scan-order optimization stereo matching

Methods, systems, and computer program products to warp a depth map into alignment with an image, where the image sensor (e.g., camera) responsible for the image and depth sensor responsible for an original depth map are separated in space. In an embodiment, the warping of the depth map may be started before the original depth map has been completely read. Moreover, data from the warped depth map may be made available to an application before the entire warped depth map has been completely generated. Such a method and system may improve the speed of the overall process and/or reduce memory requirements.

Systems, methods, and computer program products for low-latency warping of a depth map

A system for computing one or more calibration parameters of a camera is disclosed. The system includes a processor and a memory. The processor is configured to provide a first object either marked with or displaying three or more fiducial points. The fiducial points have known 3D positions in a first object reference frame. The processor is further configured to provide a second object either marked with or displaying three or more fiducial points. The fiducial points had known 3D positions in a second object reference frame. The processor is further configured to place the first object and the second object in a fixed position such that the fiducial point positions of the first and second objects are non-planar. The processor is further configured to compute one or more calibration parameters of the second camera using computations based on images taken of the fiducials.

Camera calibration using an easily produced 3D calibration pattern

A system for determining one or more camera calibration parameters is disclosed. The system comprises a processor and a memory. The processor is configured to: a) provide a first pattern for display on a display screen; b) receive a first image from a camera viewing the display screen; c) provide a second pattern for display on the display screen; and d) receive a second image from the camera viewing the display screen. The relative position of the display screen and the camera are the same as when the first image was captured using the camera. The processor is further configured to determine an image location which is a projection of a known physical location on the display screen by using at least in part a first feature identified in the first image and a second feature identified in the second image and determine one or more calibration parameters based at least in part on the determined image location. The memory is coupled to the processor and configured to provide the processor with instructions.

Display screen for camera calibration

A system is disclosed. An input interface is configured to receive pixel data from two or more images. A pixel handling processor disposed on the substrate is configured to convert the pixel data into depth and intensity pixel data. In some embodiments, a foreground detector processor disposed on the substrate is configured to classify pixels as background or not background. In some embodiments, a projection generator disposed on the substrate is configured to generate a projection in space of the depth and intensity pixel data.

Integrated image processor

A system for distance calculation is disclosed. The system includes an illuminator unit, one or more camera units, and a distance processor. The illuminator unit illuminates a scene in a target area using a textured pattern creator and wherein the textured pattern creator includes a diffractive optical element. The one or more camera units captures two or more images of the target area from two or more physical locations. A textured pattern illumination is visible in each of the two or more images of the target area. The images are used to calculate distances to one or more points in the scene in the target area.

Growing community of inventors

Palo Alto, CA, United States of America

Gaile Gordon