SEMANTIC MAPPING FOR LOW-POWER AUGMENTED REALITY USING DYNAMIC VISION SENSOR

    公开(公告)号:US20190355169A1

    公开(公告)日:2019-11-21

    申请号:US16415860

    申请日:2019-05-17

    Abstract: An apparatus includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, a CMOS image sensor configured to output frames of image data, an inertial measurement unit (IMU), a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to generate a semantic segmentation of a time-stamped frame, which is based on one or more of an output of the CMOS image sensor, or a synthesized event frame based on an output from the DVS and an output from the IMU over a time interval. The semantic segmentation includes a semantic label associated with a region of the time-stamped frame. When executed, the instructions further cause the apparatus to determine, based on the semantic segmentation, a simplified object representation in a coordinate space, and update a stable semantic map based on the simplified object representation.

    CMOS-assisted inside-out dynamic vision sensor tracking for low power mobile platforms

    公开(公告)号:US11381741B2

    公开(公告)日:2022-07-05

    申请号:US16953111

    申请日:2020-11-19

    Abstract: An untethered apparatus for performing inside-out device tracking based on visual-inertial simultaneous location and mapping (SLAM) includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, an inertial measurement unit (IMU) sensor configured to collect IMU data associated with motion of the apparatus at a predetermined interval, a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to accumulate DVS sensor output over a sliding time window, the sliding time window including the predetermined interval, apply a motion correction to the accumulated DVS sensor output, the motion correction based on the IMU data collected over the predetermined interval, generate an event-frame histogram of DVS sensor events based on the motion correction, and provide the event-frame histogram of the DVS sensor events and the IMU data to a visual inertial SLAM pipeline.

    Semantic mapping for low-power augmented reality using dynamic vision sensor

    公开(公告)号:US10812711B2

    公开(公告)日:2020-10-20

    申请号:US16415860

    申请日:2019-05-17

    Abstract: An apparatus includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, a CMOS image sensor configured to output frames of image data, an inertial measurement unit (IMU), a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to generate a semantic segmentation of a time-stamped frame, which is based on one or more of an output of the CMOS image sensor, or a synthesized event frame based on an output from the DVS and an output from the IMU over a time interval. The semantic segmentation includes a semantic label associated with a region of the time-stamped frame. When executed, the instructions further cause the apparatus to determine, based on the semantic segmentation, a simplified object representation in a coordinate space, and update a stable semantic map based on the simplified object representation.

    SYSTEM AND METHOD FOR HYBRID EYE TRACKER
    7.
    发明申请

    公开(公告)号:US20200026349A1

    公开(公告)日:2020-01-23

    申请号:US16216849

    申请日:2018-12-11

    Abstract: A system and method enable an electronic device to perform gaze tracking operations. The electronic device includes one or more cameras and at least one processor. The one or more cameras include a Dynamic Vision Sensor (DVS) camera. The one or more cameras are configured to capture features of an eye of a wearer of the electronic device The processor is configured to receive, from the one or more cameras, an image or pixel stream associated with the eye, determine an initial pose of the eye based on the image or pixel stream, receive DVS pixel data from the DVS camera, track one or more changes to the initial pose of the eye based on the DVS pixel data, and based on the one or more changes to the initial pose of the eye, determine a gaze of the wearer.

    CMOS-ASSISTED INSIDE-OUT DYNAMIC VISION SENSOR TRACKING FOR LOW POWER MOBILE PLATFORMS

    公开(公告)号:US20210075964A1

    公开(公告)日:2021-03-11

    申请号:US16953111

    申请日:2020-11-19

    Abstract: An untethered apparatus for performing inside-out device tracking based on visual-inertial simultaneous location and mapping (SLAM) includes a dynamic vision sensor (DVS) configured to output an asynchronous stream of sensor event data, an inertial measurement unit (IMU) sensor configured to collect IMU data associated with motion of the apparatus at a predetermined interval, a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to accumulate DVS sensor output over a sliding time window, the sliding time window including the predetermined interval, apply a motion correction to the accumulated DVS sensor output, the motion correction based on the IMU data collected over the predetermined interval, generate an event-frame histogram of DVS sensor events based on the motion correction, and provide the event-frame histogram of the DVS sensor events and the IMU data to a visual inertial SLAM pipeline.

    System and method for hybrid eye tracker

    公开(公告)号:US10795435B2

    公开(公告)日:2020-10-06

    申请号:US16216849

    申请日:2018-12-11

    Abstract: A system and method enable an electronic device to perform gaze tracking operations. The electronic device includes one or more cameras and at least one processor. The one or more cameras include a Dynamic Vision Sensor (DVS) camera. The one or more cameras are configured to capture features of an eye of a wearer of the electronic device The processor is configured to receive, from the one or more cameras, an image or pixel stream associated with the eye, determine an initial pose of the eye based on the image or pixel stream, receive DVS pixel data from the DVS camera, track one or more changes to the initial pose of the eye based on the DVS pixel data, and based on the one or more changes to the initial pose of the eye, determine a gaze of the wearer.

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