公开(公告)号：US11977675B2

公开(公告)日：2024-05-07

申请号：US17226853

申请日：2021-04-09

Applicant: Futurewei Technologies, Inc.

Inventor： Hai Yu ,  Fatih Porikli ,  Yuzhu Wu

IPC: G06F3/01 ,  A61B5/00 ,  A61B5/18 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/14 ,  B60W50/16 ,  G06V20/58 ,  G06V20/59 ,  H04N5/33

CPC classification number: G06F3/013 ,  A61B5/0077 ,  A61B5/18 ,  A61B5/746 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/16 ,  G06V20/58 ,  G06V20/597 ,  H04N5/33 ,  B60W2050/143 ,  B60W2540/00

Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

公开(公告)号：US11017249B2

公开(公告)日：2021-05-25

申请号：US15882581

申请日：2018-01-29

Applicant: Futurewei Technologies, Inc.

Inventor： Hai Yu ,  Fatih Porikli ,  Yuzhu Wu

IPC: G06K9/00 ,  A61B5/00 ,  A61B5/18 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/16 ,  G06F3/01 ,  G06K9/66 ,  H04N5/33 ,  B60W50/14

Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

公开(公告)号：US20190236386A1

公开(公告)日：2019-08-01

申请号：US15882581

申请日：2018-01-29

Applicant: Futurewei Technologies, Inc.

Inventor： Hai Yu ,  Fatih Porikli ,  Yuzhu Wu

IPC: G06K9/00 ,  H04N5/33 ,  G06K9/66 ,  G06F3/01 ,  B60W50/16 ,  A61B5/18 ,  A61B5/00 ,  B60W30/09 ,  B60W10/20 ,  B60W10/18 ,  B60W50/14

CPC classification number: G06K9/00845 ,  A61B5/0077 ,  A61B5/18 ,  A61B5/746 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/16 ,  B60W2050/143 ,  B60W2540/00 ,  G06F3/013 ,  G06K9/66 ,  H04N5/33

Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

公开(公告)号：US20240329734A1

公开(公告)日：2024-10-03

申请号：US18627379

申请日：2024-04-04

Applicant: Futurewei Technologies, Inc.

Inventor： Hai Yu ,  Fatih Porikli ,  Yuzhu Wu

IPC: G06F3/01 ,  A61B5/00 ,  A61B5/18 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/14 ,  B60W50/16 ,  G06V20/58 ,  G06V20/59 ,  H04N5/33

CPC classification number: G06F3/013 ,  A61B5/0077 ,  A61B5/18 ,  A61B5/746 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/16 ,  G06V20/58 ,  G06V20/597 ,  H04N5/33 ,  B60W2050/143 ,  B60W2540/00

Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

公开(公告)号：US20210295073A1

公开(公告)日：2021-09-23

申请号：US17226853

申请日：2021-04-09

Applicant: Futurewei Technologies, Inc.

Inventor： Hai Yu ,  Fatih Porikli ,  Yuzhu Wu

IPC: G06K9/00 ,  A61B5/00 ,  A61B5/18 ,  B60W10/18 ,  B60W10/20 ,  B60W30/09 ,  B60W50/16 ,  G06F3/01 ,  G06K9/66 ,  H04N5/33

Abstract: A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.

公开(公告)号：US10322728B1

公开(公告)日：2019-06-18

申请号：US15902729

申请日：2018-02-22

Applicant: Futurewei Technologies, Inc.

Inventor： Fatih Porikli ,  Yuzhu Wu ,  Luis Bill

IPC: A61B5/16 ,  B60W50/14 ,  B60W40/09 ,  G06K9/00 ,  B60W40/08

Abstract: A system for determining distress of a driver of a vehicle is provided, comprising a plurality of sensors, including interior vehicle image sensors, an interior vehicle audio sensor, vehicle data sensors, and Global Positioning System (GPS) data sensors. The system also includes one or more processors configured to receive inputs from the plurality of sensors, and process the received inputs to obtain a driver heat change estimate, a driver expression estimate, a driver gesture estimate, an on-board diagnostics (OBD) estimate, and a GPS estimate. The one or more processors are further configured to store the estimates in a memory, use the stored estimates to generate deviation scores for each of the estimates, execute a machine learning algorithm to classify driver behavior as normal or impaired based on the deviation scores, and generate a warning based on the classification indicating impaired driver behavior.