Mitsubishi Electric Corporation

Natsuki Tahara

Masanobu Osawa

Takashi Hirano

Shintaro Watanabe

Yudai Nakamura

Genta Yoshimura

A driver availability detection device includes an information acquisition unit to acquire information related to an occupant and a threshold setting unit to set an abnormal-state determination threshold for estimating the abnormal state of the occupant on a basis of an abnormal state score obtained by inputting the information related to the occupant acquired by the information acquisition unit to a machine learning model within a first threshold setting time.

Driver availability detection device and driver availability detection method

A passenger state detection device () includes: a correction parameter setting unit () for setting a correction parameter for a captured image captured by a camera () for capturing a vehicle interior for each of detection items in passenger state detecting process including the multiple detection items using at least one of a feature amount in a face part area that corresponds to a passenger's face part in the captured image or a feature amount in a structure area that corresponds to a structure in the vehicle interior in the captured image; and an image correcting unit () for correcting the captured image for each of the detection items in the passenger state detecting process using the correction parameter set by the correction parameter setting unit ().

Passenger state detection device, passenger state detection system, and passenger state detection method

An eyelid detection device includes a face feature point detecting unit for detecting outer and inner eye corners as face feature points from a captured image, an eye region detecting unit for detecting an eye region including both an upper eyelid area and an eye area from the captured image on the basis of the face feature points, and an upper eyelid detecting unit for, for each of a plurality of divided areas into which the eye region is divided, detecting the boundary between the upper eyelid area and the eye area on the basis of the pattern of arrangement of the intensity values of pixels aligned in the divided region, and for connecting the boundary detected for each of the divided regions, to determine an upper eyelid.

Eyelid detection device, drowsiness determination device, and eyelid detection method

A passenger detection device () includes a face image obtaining unit () obtaining a face image captured in a state in which a passenger in a vehicle irradiated with irradiation light from light sources. The device further includes: a reflected-image position detecting unit () detecting, from the face image, positions of respective reflected images of the light sources reflected on eyeglasses worn by the passenger; an eyeglasses feature detecting unit () detecting, from the face image, positions of center points of lenses as feature information of the eyeglasses; a head position detecting unit () detecting a head position of the passenger on the basis of the positions of respective reflected images; and a face orientation detecting unit () detecting face orientation of the passenger on the basis of relation between the head position of the passenger, the positions of respective reflected images, and the positions of center points of lenses.

Growing community of inventors

Tokyo, Japan

Natsuki Tahara