公开(公告)号：US20180308282A1

公开(公告)日：2018-10-25

申请号：US15956215

申请日：2018-04-18

Applicant: DENSO CORPORATION

Inventor： Kensuke YOKOI

IPC: G06T17/05 ,  H04N7/18 ,  G06T7/60 ,  G06T7/593

CPC classification number: G06T17/05 ,  G06T7/593 ,  G06T7/60 ,  H04N7/181

Abstract: In a shape measuring apparatus, an image processing unit derives, based on a calculated disparity, absolute distance information about a first imaging target located in a common image region from a shape measuring apparatus. The image processing unit reconstructs a 3D shape of each of imaging subjects including the first and second imaging subjects based on the sequential monochrome images.

公开(公告)号：US20200346602A1

公开(公告)日：2020-11-05

申请号：US16931340

申请日：2020-07-16

Applicant: DENSO CORPORATION

Inventor： Kensuke YOKOI

IPC: B60R21/015 ,  B60Q3/80 ,  H05B47/105

Abstract: In an occupant detection system for detecting an occupant of a vehicle, an imaging unit captures an image of an interior of the vehicle and a lighting unit illuminates a region in a field of view of the imaging unit. A lighting control unit automatically controls the lighting unit so that an integrated amount of light of the lighting unit changes. An occupant detection unit detects an occupant based on the image captured by the imaging unit.

公开(公告)号：US20170098123A1

公开(公告)日：2017-04-06

申请号：US15379524

申请日：2016-12-15

Applicant: DENSO CORPORATION

Inventor： Yukimasa TAMATSU ,  Kensuke YOKOI ,  Ikuro SATO

IPC: G06K9/00 ,  G06K9/66 ,  G06K9/46

CPC classification number: G06K9/00369 ,  G06K9/00805 ,  G06K9/4628 ,  G06K9/6267 ,  G06K9/66 ,  H04N5/144

Abstract: A detection device has a neural network process section performing a neural network process using parameters to calculate and output a classification result and a regression result of each of frames in an input image. The classification result shows a presence of a person in the input image. The regression result shows a position of the person in the input image. The parameters are determined based on a learning process using a plurality of positive samples and negative samples. The positive samples have segments of a sample image containing at least a part of the person and a true value of the position of the person in the sample image. The negative samples have segments of the sample image containing no person.