Toyota Jidosha Kabushiki Kaisha

Director-general of Agency of Industrial Science and Technology

Agency of Industrial Science & Technology-director-general

Tomoyuki Yoshida

Tomoaki Iida

Kenichiroh Hara

Shunichiroh Sawai

Yukio Kuroda

Takanori Kusakabe

Kazuhiro Tomosue

Kohta Watatsu

Naruhisa Yoshida

Kazuhiko Nakamoto

Tomohiro Miyazawa

Katsuji Gouzu

Hirofumi Mori

Shogo Konishi

Provided is a driving assistance apparatus (a control unit ()) for a vehicle capable of hands-off driving that lets a driver take his or her hands off the steering wheel. The driving assistance apparatus includes a processor () configured to determine, on the basis of sensor information indicating a state of the driver, whether or not the driver is in a state unsuitable for the surrounding monitoring of the vehicle during the hands-off driving, warn the driver through a notification device when it is determined that the driver is in a state unsuitable for the surrounding monitoring, and notify the driver, through the notification device, of a request for holding the steering wheel.

Driving assistance apparatus

A driver monitoring system includes an automated driving controller that allows hands-off operation in which a driver releases hands from a steering wheel of a vehicle, and controls an automated steering driving in which the vehicle is automatically steered, and a request notification controller that notifies a hands-on request for prompting the driver of the vehicle to perform a hands-on operation to hold the steering wheel, or a surrounding confirmation request for prompting the driver to perform a surrounding confirmation operation to confirm a surrounding condition. During the automated steering driving, the request notification controller is configured to notify the hands-on request or the surrounding confirmation request again when an elapsed time from notification of the hands-on request or the surrounding confirmation request exceeds a criterion time.

Driver monitoring system and driver monitoring method

An image display apparatus is provided with: an imager configured to image a scene in surroundings of a vehicle; a display configured to display a captured image imaged by the imager; and a display controller configured to switch between a first display mode in which a first image is displayed and a second display mode in which a second image is displayed, wherein the first image is the captured image showing a first range out of the surroundings of the vehicle, and the second image is the captured image including at least a part of the first range and showing a second range, which is wider than the first range, out of the surroundings of the vehicle. The display controller displays the second image on the display in the second display mode in an aspect of clearly showing an area of the second image corresponding to the first image.

Image display apparatus

A display system includes an imaging section, a display section, a selection section, an operation section, and a display control section. The imaging section is configured to image toward a rear and a side of a vehicle. The display section is configured to display an image captured by the imaging section. The selection section is configured to allow selection of a standard mode or a wide-angle mode. The operation section is configured to enable operation of one out of forward driving or reverse driving of the vehicle. The display control section includes RAM, and switches to whichever mode has been set out of the standard mode or the wide-angle mode immediately prior to the vehicle being driven in reverse in cases in which an operation to switch from reverse driving to forward driving of the vehicle has been performed using the operation section while in a reverse driving mode.

Electronic mirror system

An electronic mirror apparatus includes: a camera provided on a lateral surface of a vehicle, the camera being configured to pick up an image of a predetermined pickup range in a vehicle lateral direction and in a vehicle rearward direction; a display device disposed at such a position that a driver visually recognizes the display device; and an electronic control unit configured to perform a process for displaying the image picked up by the camera, on the display device, the electronic control unit being configured to display, on the image, an assist image expressing at least one of an outer part of a region where the vehicle occupies a road surface in planar view of the vehicle and an outside position a predetermined distance away from the outer part of the region where the vehicle occupies the road surface in planar view of the vehicle.

Electronic mirror apparatus

Cameras capture images of different regions in the surroundings of a vehicle, and plural captured images are displayed on a monitor. An operation section includes a four-way switch enabling input to instruct a movement direction of a range to display as an image on the monitor, and a selection switch enabling input to designate a target image out of the plural images. An electronic mirror switches between a mode in which an image display on the monitor is modified under a first operation condition in which the four-way switch has been operated in a state in which the target image has not been designated through the selection switch, and a mode in which an image display on the monitor is modified under a second operation condition in which the four-way switch has been operated in a state in which the target image has been designated through the selection switch.

Vehicle surroundings display device

An apparatus and method are provided for analyzing information relating to the physiological and psychological conditions of a driver. Psychological conditions such as comfortableness or degree of alertness are estimated on the basis of physical data such as fluctuation in brain waves. This apparatus comprises a first neural network having a pre-processed 1/f fluctuation signal for brain waves as an input and for estimating a degree of alertness of the driver, and a second neural network receiving the estimated degree of alertness and the pre-processed 1/f fluctuation signal, for estimating and outputting driving comfortableness. By employing a neural network, which has a mapping ability as well as flexible adaptability even for non-linear data, based on the learning function, more accurate estimation of mental conditions can be achieved in comparison with conventional statistical analysis.

Growing community of inventors

Nisshin, Japan

Tomoyuki Yoshida