Osram Sylvania Inc.

Osram Gmbh

Yang Li

Christian Breuer

Bernhard Siessegger

Sergio Bermudez

Barry Baxter Stout

Anant Aggarwal

Sajin George

Christoph Pietz

Helmar Adler

Christoph Peitz

Khadige Abboud

Mai Abdelhakim

Techniques and architecture are disclosed for mobile transport systems configured to determine vehicle positions within an area using light-based communication signals. The system includes a plurality of luminaires located in an area and configured to transmit luminaire position data recognizable by a sensor disposed on a vehicle. The sensor receives an image of a luminaire including a light-based communication signal encoded with luminaire position data. Luminaire position data can be combined with luminaire layout information to determine a known location of the luminaire. A vehicle position relative to the known luminaire location can be determined based on mathematical relationships. Vehicle orientation relative to the area can be determined based an asymmetric fiducial pattern or multiple known luminaire locations. The system can combine a vehicle position relative to a known luminaire location with vehicle orientation relative to the area to determine a vehicle position relative to the area.

Light-based vehicle positioning for mobile transport systems

Systems and methods disclosed herein includes a measurement device to enable dimensional metrology and/or 3D reconstruction of an object. The measurement device is positioned between the object and reference luminaires (e.g., light emitting diodes or other light sources). The measurement device uses the reference luminaires to determine the position and orientation of the measurement device. The measurement device may include a camera oriented towards the reference luminaires and may acquire/use images of reference luminaires to determine the position and orientation of the measurement device. Using the reference luminaires, the system may determine positions and orientations of the measurement device when the images of the reference luminaires are taken. The system may be configured to use the positions and the orientations of the measurement device to determine dimensions and/or 3D models of the object.

Method and apparatus for light and computer vision based dimensional metrology and 3D reconstruction

Techniques are disclosed for decoding light based communication (LBC) messages transmitted between a transmitter device and a receiver device. The receiver device includes a processor that executes a process to decode a received LBC message. The processor determines a moving average and removes the moving average to provide a second digital message (with the moving average removed), to account for any noises or interferences. The moving average may be determined using a length-preserving moving average. The peak location in the second digital message is identified and used as a start position for synchronization when the peak location is above the threshold. Sampling points are derived, and logical maximum and minimum values (1's and 0's) are assigned to one or more of the sampling points. The logical values are decoded to generate a decoded sequence of data representative of the received LBC message.

Techniques for decoding light-based communication messages

Aspects of the present disclosure include methods and systems for the automated commissioning of a network of electronic devices. The locations of large systems of installed electronic devices equipped with wireless communication modules, such as luminaires, light switches, and occupancy sensors, can be rapidly determined by using inter-device distance measurements to calculate the location coordinates of the devices. Increased confidence in the calculated location coordinates can be achieved by comparing the calculated values to an installation plan and assigning the IDs of the specific devices to the location coordinates in the installation plan.

System and method for automated commissioning of one or more networks of electronic devices

Systems, methods, and software for determining whether or not a monitored space is occupied by one or more humans and/or animals. In some embodiments, one or more radio-frequency (RF) receivers monitor(s) one or more RF frequencies for changes in received signal strength that may be due to changes in occupancy of the space being monitored. The received signal strength is analyzed using nonparametric online change-point detection analysis to determine change-points in the received signal(s). One or more statistical measures of the received signal(s), such as mean and variance, are used in conjunction with the change-point detection to determine a probability that the occupancy of the monitored space has changed. In some embodiments, additional sensors and/or machine learning can be used to enhance the performance of the disclosed occupancy-detection methodologies.

Occupancy estimation using nonparametric online change-point detection, and apparatuses, systems, and software for same

A method of Light-based Communication (LCom) using camera frame-rate based light modulation is provided. The method includes receiving light having modulated light properties that vary at a first frequency from a LCom-enabled luminaire by an image capture device using a global shutter image capture process, comparing light properties received at the image capture device over sequential image capture instances, and determining, from the compared light properties, data encoded by the modulated light.

Light-based communication using camera frame-rate based light modulation

Techniques and architecture are disclosed for navigating an area with multi-panel luminaires configured to display fiducial patterns. In an embodiment, a system includes a plurality of luminaires located in an area and configured to display one or more fiducial patterns recognizable by a mobile computing device. The luminaire includes a plurality of panels, each panel associated with one or more solid-state light sources. The luminaire also includes at least one driver configured to control the light sources to transmit light through the plurality of panels at varying light intensities to display a fiducial pattern and configured to detect errors in the display of the fiducial pattern.

Light-based fiducial communication

Techniques are disclosed for detecting changes in occupancy as well as the number of occupants within an area. Detection of one or more occupants entering or leaving the area may be accomplished using a sensor having a quantity of pixels. The pixels may be configured to receive thermal energy emitted from one or more objects present in the area, including from one or more occupants. In response to receiving the emitted thermal energy, the sensor may be configured to create thermal images of the area. These thermal images may include a plurality of thermal intensity values associated with one or more pixels of the sensor. Two or more thermal images can be compared to identify a change in thermal intensity values. A change in the occupancy of the area may be determined by based on the identified change in thermal intensity values.

Thermal image occupant detection

Techniques are disclosed for locating an occupant within an area. The system includes a first sensor including a first plurality of pixels for receiving a thermal energy input from the occupant within a first field of view (FOV) and a second sensor including a second plurality of pixels for receiving the input within a second FOV. A first distance from the occupant to the first sensor is determined based on the input received by at least one pixel of the first plurality of pixels and a first sensor location from an origin. A second distance from the occupant to the second sensor is also determined based on the input received by at least one pixel of the second plurality of pixels and a second sensor location relative to the origin. A coordinate position for the occupant relative to the origin is determined based on the determined first and second distances.

Occupant position tracking using imaging sensors

Various embodiments disclosed herein include a method for determining the position of a computing device. The method may include obtaining, by the computing device, an image of a subset of luminaries from a plurality of luminaires located in an indoor environment, in which each subset grouping of luminaires in the plurality of luminaires is uniquely identifiable. The computing device may then compare the subset of luminaires to a database storing each uniquely identifiable subset grouping of luminaires in the plurality of luminaires, in which the database includes position information for each luminaire in the plurality of luminaires, and determine the position of the computing device based on the comparison of the subset of luminaries to the database.

Growing community of inventors

Georgetown, MA, United States of America

Yang Li