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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12263857 B1

PDFFull Text
Date of Patent:
Apr. 01, 2025

Filed:

Jan. 12, 2023

Method for assisting safer driving and electronic device

Applicant:

Hon Hai Precision Industry Co., Ltd., New Taipei, TW;

Inventors:

Chih-Te Lu, New Taipei, TW;

Chieh Lee, New Taipei, TW;

Chin-Pin Kuo, New Taipei, TW;

Assignee:

HON HAI PRECISION INDUSTRY CO., LTD., New Taipei, TW;

Attorney:

ScienBiziP, P.C.

Primary Examiner:

Quan Zhen Wang

Assistant Examiner:

Rajsheed O Black-Childress

Int. Cl.
CPC ...
B60W 50/14 (2020.01); B60W 40/072 (2012.01); B60W 40/105 (2012.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 50/14 (2013.01); B60W 40/072 (2013.01); B60W 40/105 (2013.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); B60W 2050/143 (2013.01); B60W 2420/403 (2013.01); B60W 2520/06 (2013.01); B60W 2540/18 (2013.01); B60W 2552/30 (2020.02); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01);
Abstract

A method for assisting safer riving applied in a vehicle-mounted electronic device obtains RGB images of a scene in front of a vehicle when engine is running, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images to three-dimensional (3D) point cloud maps. A curvature of the driving path of the vehicle is calculated, and 3D regions of interest of the vehicle are extracted from the 3D point cloud maps according to a size of the vehicle and the curvature or deviation from straight ahead. The 3D regions of interest are analyzed for presence of obstacles. When no obstacles are present, the vehicle is controlled to continue driving, when presence of at least one obstacle is determined, an alarm is issued.

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