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.

Date of Patent:
Apr. 25, 2023

Filed:

Mar. 08, 2021
Applicant:

Metal Industries Research & Development Centre, Kaohsiung, TW;

Inventors:

Tsung Han Lee, Yunlin County, TW;

Jinn-Feng Jiang, New Taipei, TW;

Shih-Chun Hsu, Miaoli County, TW;

Tsu-Kun Chang, New Taipei, TW;

Hung-Yuan Wei, New Taipei, TW;

Cheng-Tai Lei, Taipei, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); B60W 30/095 (2012.01); B60W 50/14 (2020.01); G01B 11/22 (2006.01); G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06K 9/62 (2022.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/20 (2017.01); H04N 13/204 (2018.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 30/0956 (2013.01); B60W 50/14 (2013.01); G01B 11/22 (2013.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06K 9/6201 (2013.01); G06K 9/6288 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/20 (2013.01); G06V 20/64 (2022.01); H04N 13/204 (2018.05); B60W 2050/143 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2554/20 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4042 (2020.02); B60W 2554/4044 (2020.02); B60W 2554/80 (2020.02); G06T 2207/10028 (2013.01); G06T 2207/20221 (2013.01);
Abstract

The disclosure provides an environment perception device and method of a mobile vehicle. The environment perception device includes a camera module, a LiDAR module, a database and a processing circuit. The camera module photographs a field near the mobile vehicle to generate a three-dimensional (3D) image frame. The LiDAR module scans the field to generate a 3D scanned frame. The processing circuit fuses the 3D image frame and the 3D scanned frame to generate 3D object information. The processing circuit compares the 3D object information with a 3D map in the database to determine whether an object is a static object. The processing circuit performs an analysis and calculation on the 3D object information to obtain movement characteristics of the object when the object is not the static object, and skips the analysis and calculation on the 3D object information when the object is the static object.


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