Denso Corporation

Nippondenso Co., Ltd.

Nippon Soken, Inc.

Toyota Boshoku Kabushiki Kaisha

The Kitasato Institute

Takeshi Enya

Takuhiro Omi

Hiroto Banno

Yutaka Munaoka

Minori Yamataka

Akiyoshi Asai

Hiroaki Ogawa

Hiroaki Tanaka

Yoshihisa Sato

Toshiyuki Morishita

Makoto Sakai

Shoichi Yamauchi

Jun Sakakibara

Kazuhiro Tsuruta

Masaki Matsui

Ryoichi Sugawara

Hiroyuki Kishita

Masaru Kakizaki

Junya Inada

Isao Aichi

Takanari Sasaya

Keisuke Toda

Kunihiro Onoda

Katsumi Nakamura

Masaru Sakata

Hisayoshi Ohshima

Satori Hachisuka

Satoshi Nozoe

Takushi Kawamorita

Apparatus detecting driving incapability state of a driver includes: a head detection portion that successively detects a head portion, which is higher than a neck of the driver, based on an image of a driver's seat captured by an imaging device mounted in a vehicle; and an out-of-frame state detection portion that detects that the driver is incapable of driving, when the head portion detected by the head detection portion is out of a predetermined scope in the image during travelling of the vehicle.

Apparatus detecting driving incapability state of driver

An index calculation apparatus is provided with a luminance acquiring unit, a chromaticity acquiring unit and an index calculation unit. The luminance acquiring unit is configured to acquire a luminance Y of an evaluation object of visibility. The chromaticity acquiring unit is configured to acquire a chromaticity U of the evaluation object. The index calculation unit is configured to calculate an index V expressed by following equation by using the luminance Y and the chromaticity U&#xb7;V=KYU . . . (1), where K is a constant.

Index calculation apparatus and display system

The display system includes a first storage unit storing standardized data composed chromaticity values and luminance values. An information acquirer acquires luminance values and chromaticity values of a visual target and luminance and chromaticity values of a background thereof. A standardization unit standardizes the chromaticity values and the luminance values of the visual target and the background based on these chromaticity values and the luminance values of the visual target and the background thereof and the standardized data stored in the first storage unit. A visual target contrast calculator calculates a contrast of a visual target to a background by measuring a distance in a color space between the visual target and the background each defined by the standardized luminance and chromaticity values. A second storage unit stores an expression defining a relation between the contrast thereof to the background and a size of the visual target.

Display system, visibility evaluation method, and method of determining size of visual target

An apparatus detecting driving incapability state of a driver includes: an inclination detection portion that detects inclination of a head of a driver with respect to a trunk of the driver lower than a neck, based on an image of a driver seat captured by an imaging device mounted on a vehicle; and a posture collapse detection portion that detects the driver is incapable of driving when the inclination of the head detected by the inclination detection portion is greater than a relative inclination threshold during travel of the vehicle.

An apparatus detecting driving incapability state of a driver includes: a head detection portion that detects a head of the driver based on an image of a driver's seat captured by an imaging device mounted on a vehicle; and a shake detection portion that detects the driver is incapable of driving when an amplitude of a shake of the head detected by the head detection portion is smaller than a first amplitude or larger than a second amplitude, which is larger than the first amplitude, before a shake determination time elapses after external force has been applied to the vehicle during travel of the vehicle.

Provided is at least two of a direction determination unit which determines that the state is abnormal when a gaze direction of a driver of a vehicle is not within a first predetermined range based on a captured image of a head of the driver, a height determination unit which determines that the state is abnormal when a height of an eye of the driver is not within a second predetermined range based on the captured image, and a position determination unit which determines that the state is abnormal when a position of the head in a lateral direction is not within a third predetermined range based on the captured image; and an abnormal state determination unit which determines whether the state of the driver is abnormal based on the determination results of the determination units.

Driver abnormality detection device and driver abnormality detection method

According to the present disclosure, a state estimation device estimating a state of a monitoring target based on an involuntary eye movement of an eyeball of the monitoring target is provided. The state estimation device in the present disclosure includes a microsaccade information acquisition portion obtaining microsaccade information that includes a state of variation of a gaze angle when a microsaccade of the involuntary eye movement occurs, and a state estimation portion estimating the state of the monitoring target based on the microsaccade information.

State estimation device and state estimation program

A control method for a vehicle includes: predicting a position of an eye point of an occupant after a state of a vehicle seat is changed based on amount of adjustment of an adjusting mechanism due to change in state of the vehicle seat; determining whether or not the predicted position of the eye point is located within a measurement range of a camera member installed to a steering member; and if it is determined that the predicted position of the eye point is not located within the measurement range of the camera member, moving the measurement range of the camera member toward the predicted position of the eye point synchronously with the steering member.

Control method for vehicle

A feeling monitoring system includes a facial image acquisition portion, a feeling information acquisition section, and a feeling display generation section. The facial image acquisition portion is capable of acquiring a facial image of an occupant individually sitting in each seating position of two or more seating positions in a vehicle. The feeling information acquisition section acquires feeling information representing the feeling of the occupant based on the facial image acquired from the facial image acquisition portion. The feeling display generation section generates a feeling display corresponding to the feeling information acquired by the feeling information acquisition section.

Feeling monitoring system

A current sensor includes: a magneto electric conversion element; and a magnetic field concentrating core applying a magnetic field caused by a measurement object current to the magneto electric conversion element. A planar shape of the magnetic field concentrating core perpendicular to a current flowing direction is a ring shape with a gap. The magneto electric conversion element is arranged in the gap. A part of a conductor for flowing the current is surrounded by the magnetic field concentrating core. The magnetic field concentrating core includes two first magnetic members and at least one second magnetic member, which are stacked alternately in the current flowing direction. Parts of the two first magnetic members adjacent to each other via the one second magnetic member are opposed to each other through a clearance or an insulator.

Driving assistance device and driving assistance method

A display device of the present invention is mounted on an automotive vehicle. An obstacle located in front of the vehicle is detected by a camera, and its features including speed, distance, size, etc. are analyzed by electronic circuits. An image showing the features of the front object is outputted from a liquid crystal panel. The outputted image is reflected on the windshield, displaying a virtual image to a driver. The virtual image is displayed in a form of a spot encircling the front obstacle seen through the windshield. The ways of displaying the encircling spot are variously changed according to a degree of collision danger that is determined according to a period in which the vehicle reaches the obstacle. For example, if the degree of collision danger is high, the spot is shown in red-orange color and/or with a high brightness. Thus, the driver easily recognizes the front obstacle in a high degree of collision danger.

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Kariya, Japan

Takeshi Enya