公开(公告)号：US20210374987A1

公开(公告)日：2021-12-02

申请号：US16326005

申请日：2016-09-09

Applicant: Intel Corporation

Inventor： Liwei MA

IPC: G06T7/73 ,  G06N3/08

Abstract: A mechanism is described for facilitating training and deploying of pose regression in neural networks in autonomous machines. A method, as described herein, includes facilitating capturing, by an image capturing device of a computing device, one or more images of one or more objects, where the one or more images include one or more training images associated with a neural network. The method may further include continuously estimating, in real-time, a present orientation of the computing device, where estimating includes continuously detecting a real-time view field as viewed by the image capturing device and based on the one or more images. The method may further include applying pose regression relating to the image capturing device using the real-time view field.

公开(公告)号：US20200327367A1

公开(公告)日：2020-10-15

申请号：US16304676

申请日：2016-06-03

Applicant: INTEL CORPORATION

Inventor： Liwei MA ,  Jiqiang SONG

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/00 ,  G06T7/73 ,  G06N3/04

Abstract: Embodiments provide for a processor including logic to accelerate convolutional neural network processing, the processor including first logic to apply a convolutional layer to an image to generate a first convolution result and second logic to apply a look-up convolutional layer to the first convolution result to generate a second convolution result, the second convolution result associated with a location of the first convolution result within a global filter kernel.

公开(公告)号：US20200082262A1

公开(公告)日：2020-03-12

申请号：US16468280

申请日：2016-12-21

Applicant: INTEL CORPORATION

Inventor： Zhongxuan LIU ,  Liwei MA

IPC: G06N3/08 ,  G06N3/04

Abstract: An apparatus for facilitating accurate camera re-localization in autonomous machines includes an image capturing device to capture an image of an object, selection/comparison logic to select a middle layer from a plurality of convolutional network (CNN) layers, processing/training logic to process superiority of one or more original keyframes of the image with one or more layer-based keyframes associated with the middle layer, and execution/outputting logic to output a first result based on the one or more original keyframes if one of the one or more original keyframes is superior than the one or more layer-based keyframes. A method, a machine-readable medium, a system, an apparatus, a computing device, and a communications device of the embodiments are also described.

公开(公告)号：US20220084329A1

公开(公告)日：2022-03-17

申请号：US17539083

申请日：2021-11-30

Applicant: Intel Corporation

Inventor： Barath LAKSHAMANAN ,  Linda L. HURD ,  Ben J. ASHBAUGH ,  Elmoustapha OULD-AHMED-VALL ,  Liwei MA ,  Jingyi JIN ,  Justin E. GOTTSCHLICH ,  Chandrasekaran SAKTHIVEL ,  Michael S. STRICKLAND ,  Brian T. LEWIS ,  Lindsey KUPER ,  Altug KOKER ,  Abhishek R. APPU ,  Prasoonkumar SURTI ,  Joydeep RAY ,  Balaji VEMBU ,  Javier S. TUREK ,  Naila FAROOQUI

IPC: G07C5/00 ,  G05D1/00 ,  G08G1/01 ,  H04W28/08 ,  H04L29/08 ,  G06N20/00 ,  G06F9/50 ,  G01C21/34 ,  B60W30/00 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06N20/10

Abstract: An autonomous vehicle is provided that includes one or more processors configured to provide a local compute manager to manage execution of compute workloads associated with the autonomous vehicle. The local compute manager can perform various compute operations, including receiving offload of compute operations from to other compute nodes and offloading compute operations to other compute notes, where the other compute nodes can be other autonomous vehicles. The local compute manager can also facilitate autonomous navigation functionality.

公开(公告)号：US20190188141A1

公开(公告)日：2019-06-20

申请号：US16326708

申请日：2016-10-05

Applicant: INTEL CORPORATION

Inventor： Liwei MA ,  Jiqiang SONG

IPC: G06F12/0875 ,  G06N3/08 ,  B25J19/02

CPC classification number: G06F12/0875 ,  B25J19/023 ,  B25J19/026 ,  G06F12/0802 ,  G06F2212/455 ,  G06N3/008 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06T1/60

Abstract: A mechanism is described for facilitating general purpose input/output data capture and neutral cache system for autonomous machines. A method of embodiments, as described herein, includes capturing, by an image capturing device, one or more images of one or more objects, where the one or more images represent input data associated with a neural network. The method may further include determining accuracy of first output results generated by a default neural caching system by comparing the first output results with second output results predicted by a custom neural caching system. The method may further include outputting, based on the accuracy, a final output results including at least one of the first output results or the second output results.

公开(公告)号：US20190094027A1

公开(公告)日：2019-03-28

申请号：US16081129

申请日：2016-03-30

Applicant: INTEL CORPORATION

Inventor： Xianchao XU ,  Jiqiang SONG ,  Liwei MA ,  Ke WANG

IPC: G01C21/16 ,  G06T7/246 ,  G06T7/73 ,  G01S19/48 ,  G06N3/04

Abstract: Various embodiments are directed to techniques for determining a current location of a mobile device. An apparatus includes a SLAM candidate component to identify a first candidate key frame matching a current captured frame by a first degree from an interval-based key frame set with key frames selected on a recurring interval from multiple earlier captured frames captured by mobile device camera of surroundings within a defined area, a CNN candidate component to identify a second candidate key frame matching the current captured frame by a second degree from a difference-based key frame set with key frames selected from the multiple earlier captured frames based on a degree of difference from all key frames already therein, and a position estimation component to determine a current location of the mobile device from estimates of differences between the current location and locations of the first and second candidate key frames.

公开(公告)号：US20180293756A1

公开(公告)日：2018-10-11

申请号：US15567596

申请日：2016-11-18

Applicant: Intel Corporation

Inventor： Zhongxuan LIU ,  Liwei MA

IPC: G06T7/80 ,  G06K9/62 ,  G06T7/73 ,  G06T7/37 ,  G06N3/04 ,  G01P15/08

Abstract: Methods, apparatus, and system to obtain a pose from image regression in a trained convolutional neural network (“CNN”), to refine the CNN pose based on inertial measurements from an inertial measurement unit, and to infer a pose of a camera which took the image based on the refined CNN pose.