公开(公告)号：US20210311893A1

公开(公告)日：2021-10-07

申请号：US17253998

申请日：2018-12-24

Applicant: Intel Corporation

Inventor： Daniel Pohl ,  Tomer Rider ,  Wenlong Yang

IPC: G06F13/22 ,  H04B7/26 ,  H04B17/318 ,  G06K9/00 ,  G06T7/70 ,  G06F3/01

Abstract: The present disclosure is directed at pairing a host electronic device with a peripheral electronic device using visual recognition and deep learning techniques. In particular, the host device may receive an indication of a peripheral device via a camera or as a result of searching for the peripheral device (e.g., due startup of a related application or periodic scanning). The host device may also receive an image of the peripheral device (e.g., captured via the camera, and determine a visual distance to the peripheral device based on the image. The host device may also determine a signal strength of the peripheral device, and determine a signal distance to the peripheral device based on the signal strength. The host device may pair with the peripheral device if the visual distance and the signal distance are approximately equal.

公开(公告)号：US20210125343A1

公开(公告)日：2021-04-29

申请号：US16973845

申请日：2018-09-05

Applicant: INTEL CORPORATION

Inventor： Wenlong Yang ,  Daniel Pohl ,  Tomer Rider

IPC: G06T7/246 ,  G06T7/507

Abstract: An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

公开(公告)号：US20200217952A1

公开(公告)日：2020-07-09

申请号：US16648607

申请日：2017-12-28

Applicant: Intel Corporation

Inventor： Tomer Rider ,  Wenlong Yang

IPC: G01S13/931 ,  G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G01S7/41 ,  G01S13/58 ,  G01S13/86 ,  G05D1/02

Abstract: Various systems and methods for optimizing use of environmental and operational sensors are provided. A system for improving sensor efficiency includes object recognition circuitry (108) implementable in a vehicle (102) to detect an object ahead of the vehicle (102), the object recognition circuitry (108) to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry (108) configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor (106) subsystem to: calculate a relative velocity of the object with respect to the vehicle (102); and configure the object recognition circuitry (108) to adjust intervals between successive object detection operations based on the relative velocity of the object.

公开(公告)号：US20190025773A1

公开(公告)日：2019-01-24

申请号：US15824808

申请日：2017-11-28

Applicant: Intel Corporation

Inventor： Wenlong Yang ,  Tomer Rider ,  Xiaopei Zhang

IPC: G05B13/02 ,  G06N3/08 ,  G06K9/78 ,  G06T7/00 ,  G06K9/62 ,  G06N5/04

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

公开(公告)号：US20240289930A1

公开(公告)日：2024-08-29

申请号：US18634115

申请日：2024-04-12

Applicant: Intel Corporation

Inventor： Wenlong Yang ,  Tomer Rider ,  Xiaopei Zhang

IPC: G06T5/77 ,  G05B13/02 ,  G05D1/00 ,  G06F18/214 ,  G06F18/24 ,  G06F18/2413 ,  G06F18/25 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06T7/00 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/98

CPC classification number: G06T5/77 ,  G05B13/0265 ,  G06F18/214 ,  G06F18/24 ,  G06F18/24133 ,  G06F18/251 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06T7/0002 ,  G06V10/764 ,  G06V10/803 ,  G06V10/82 ,  G06V10/993 ,  G05D1/00 ,  G06N3/044 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

公开(公告)号：US11989861B2

公开(公告)日：2024-05-21

申请号：US15824808

申请日：2017-11-28

Applicant: Intel Corporation

Inventor： Wenlong Yang ,  Tomer Rider ,  Xiaopei Zhang

IPC: G06N3/08 ,  G05B13/02 ,  G06F18/214 ,  G06F18/24 ,  G06F18/2413 ,  G06F18/25 ,  G06N3/045 ,  G06N3/084 ,  G06N5/04 ,  G06T5/77 ,  G06T7/00 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/98 ,  G05D1/00 ,  G06N3/044

CPC classification number: G06T5/77 ,  G05B13/0265 ,  G06F18/214 ,  G06F18/24 ,  G06F18/24133 ,  G06F18/251 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06N5/04 ,  G06T7/0002 ,  G06V10/764 ,  G06V10/803 ,  G06V10/82 ,  G06V10/993 ,  G05D1/00 ,  G06N3/044 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

公开(公告)号：US11585920B2

公开(公告)日：2023-02-21

申请号：US16648607

申请日：2017-12-28

Applicant: Intel Corporation

Inventor： Tomer Rider ,  Wenlong Yang

IPC: G01S13/931 ,  G01S7/41 ,  G01S13/58 ,  G01S13/86 ,  G05D1/02 ,  G06K9/62 ,  G06V10/143 ,  G06V20/58 ,  G08G1/16

Abstract: Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

公开(公告)号：US11231781B2

公开(公告)日：2022-01-25

申请号：US16627606

申请日：2017-08-03

Applicant: Intel Corporation

Inventor： Yuan Xiong ,  Feiyue Zhai ,  Buddy Cao ,  Wenlong Yang

IPC: G06F3/01

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

公开(公告)号：US09436269B2

公开(公告)日：2016-09-06

申请号：US14126897

申请日：2013-05-16

Applicant: Intel Corporation

Inventor： Wenlong Yang

IPC: G06F1/32

CPC classification number: G06F1/3287 ,  G06F1/3228 ,  G06F1/3265 ,  G09G5/363 ,  G09G2320/0686 ,  G09G2330/021 ,  Y02D10/153 ,  Y02D10/171 ,  Y02D50/20

Abstract: In an embodiment, a method includes receiving user interface information having event registrations for a user interface to be displayed on a display of a system, partitioning the display into an unused display area and an active display area based on the event registrations, and power managing the unused display area while maintaining the active display area fully powered. Other embodiments are described and claimed.

Abstract translation: 在一个实施例中，一种方法包括接收用户接口的用户接口信息，用于在系统的显示器上显示的用户界面的事件注册，基于事件注册将显示器划分为未使用的显示区域和主动显示区域，以及功率管理 在保持活动显示区域完全供电的同时，未使用的显示区域。 描述和要求保护其他实施例。