Saturation Compensation using a Smart-Device-Based Radar System

    公开(公告)号:US20230204754A1

    公开(公告)日:2023-06-29

    申请号:US18175753

    申请日:2023-02-28

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

    Ultra-Wideband Ranging Method and Device

    公开(公告)号:US20240381053A1

    公开(公告)日:2024-11-14

    申请号:US18294042

    申请日:2021-08-17

    Applicant: Google LLC

    Abstract: An ultra-wideband (UWB) ranging method comprises determining, by a first device, that the first device is within proximity of a second device. Responsive to the determination, the first device negotiates a value to use as a UWB session key for securing UWB communications with the second device. The negotiation occurs via a communication protocol different from a UWB communication protocol. The first device controls a UWB subsystem therein to encrypt information communicated via the UWB subsystem based on the negotiated value of the UWB session key instead of a default value for the UWB session key that is specified in the UWB communication protocol. The information facilitates determining the distance between the first device and the second device.

    Dark flash photography with a stereo camera

    公开(公告)号:US11039122B2

    公开(公告)日:2021-06-15

    申请号:US16120666

    申请日:2018-09-04

    Applicant: Google LLC

    Abstract: Scenes can be imaged under low-light conditions using flash photography. However, the flash can be irritating to individuals being photographed, especially when those individuals' eyes have adapted to the dark. Additionally, portions of images generated using a flash can appear washed-out or otherwise negatively affected by the flash. These issues can be addressed by using a flash at an invisible wavelength, e.g., an infrared and/or ultraviolet flash. At the same time a scene is being imaged, at the invisible wavelength of the invisible flash, the scene can also be imaged at visible wavelengths. This can include simultaneously using both a standard RGB camera and a modified visible-plus-invisible-wavelengths camera (e.g., an “IR-G-UV” camera). The visible and invisible image data can then be combined to generate an improved visible-light image of the scene, e.g., that approximates a visible light image of the scene, had the scene been illuminated during daytime light conditions.

    Devices for Gesture Detection that Incorporate Ultra-Wideband (UWB) Transceivers

    公开(公告)号:US20230408676A1

    公开(公告)日:2023-12-21

    申请号:US18253268

    申请日:2021-03-15

    Applicant: Google LLC

    Abstract: Example embodiments relate to devices for gesture detection that incorporate ultra-wideband (UWB) transceivers. An example device includes a first UWB transceiver configured to transmit and receive UWB signals to communicate with a second UWB transceiver. The UWB signals are indicative of an orientation and a position of the first UWB transceiver relative to the second UWB transceiver. The second UWB transceiver corresponds to a first controlled device. The device also includes a memory and a processor. The processor is configured to identify one or more gestures traced out by the device based on the UWB signals. The processor is also configured to cause the first UWB transceiver to transmit a command UWB signal to the second UWB transceiver based on the one or more identified gestures. The command UWB signal provides an instruction to the first controlled device.

    Saturation compensation using a smart-device-based radar system

    公开(公告)号:US11906619B2

    公开(公告)日:2024-02-20

    申请号:US18175753

    申请日:2023-02-28

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

    Smart-device-based radar system detecting user gestures in the presence of saturation

    公开(公告)号:US11592547B2

    公开(公告)日:2023-02-28

    申请号:US16772566

    申请日:2019-02-28

    Applicant: Google LLC

    Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system 104 employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system 104's receiver 304 is saturated. As such, the radar system 104 can forgo integrating an automatic gain control circuit to prevent the receiver 304 from becoming saturated. Furthermore, the radar system 104 can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system 104's dynamic range increases, which enables the radar system 104 to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system 104.

    Dark flash photography with a stereo camera

    公开(公告)号:US11490070B2

    公开(公告)日:2022-11-01

    申请号:US17322216

    申请日:2021-05-17

    Applicant: Google LLC

    Abstract: Scenes can be imaged under low-light conditions using flash photography. However, the flash can be irritating to individuals being photographed, especially when those individuals' eyes have adapted to the dark. Additionally, portions of images generated using a flash can appear washed-out or otherwise negatively affected by the flash. These issues can be addressed by using a flash at an invisible wavelength, e.g., an infrared and/or ultraviolet flash. At the same time a scene is being imaged, at the invisible wavelength of the invisible flash, the scene can also be imaged at visible wavelengths. This can include simultaneously using both a standard RGB camera and a modified visible-plus-invisible-wavelengths camera (e.g., an “IR-G-UV” camera). The visible and invisible image data can then be combined to generate an improved visible-light image of the scene, e.g., that approximates a visible light image of the scene, had the scene been illuminated during daytime light conditions.

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