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:
Nov. 25, 2025

Filed:

Jan. 22, 2021
Applicant:

Hitachi Astemo, Ltd., Hitachinaka, JP;

Inventors:

Kosuke Sakata, Hitachinaka, JP;

Masayoshi Kuroda, Hitachinaka, JP;

Assignee:

Hitachi Astemo, Ltd., Hitachinaka, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/48 (2006.01); G01S 17/86 (2020.01); G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G01S 7/4802 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/30256 (2013.01);
Abstract

An object of the present invention is to provide an object sensing device that classifies an observation point group output by a LiDAR into a real image and a mirror image when a road surface around an own vehicle is wet, and can use the mirror image for detecting the real image. An object sensing device that detects an object around a vehicle based on a point cloud data of an observation point observed by a LiDAR mounted on the vehicle includes: a road surface shape estimation unit that estimates a shape of a road surface; a road surface condition estimation unit that estimates a dry/wet situation of the road surface; and an observation point determination unit that determines a low observation point observed at a position lower than the estimated road surface by a predetermined amount or more when the road surface is estimated to be in a wet situation. The object is detected by using point cloud data of the observation points other than the low observation point and point cloud data of an inverted observation point obtained by inverting the low observation point with reference to a height of the road surface.


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