Mitsubishi Electric Corporation

Takuji Morimoto

Shogo Okamoto

Kimika Ikegami

Masanobu Osawa

Atsushi Matsumoto

Yoshihiko Mori

Shinji Akatsu

Shin Miura

Kiyoshi Matsutani

Genta Yoshimura

Yasutaka Konishi

Taku Umeda

Takashi Hirano

Takumi Sato

Takahisa Aoyagi

Takefumi Hasegawa

Atsushi Kawashima

Tetsuji Haga

Tomoki Uno

Kentaro Ishikawa

Kyosuke Konishi

Tetsuro Nishioka

Asako Shigeta

Takahisa Hirata

Hiroyoshi Shibata

Tadahiko Urano

Shan Gao

Mizuki Higuchi

Daisuke Fushiki

Yuta Takashima

Keisuke Sugiura

To provide a lane change prediction system and a lane change prediction method which can predict whether the merging vehicle interrupts on the front side or the back side of the object vehicle. A lane change prediction system, when the peripheral vehicle which exists around the object vehicle is a merging vehicle, predicts whether the merging vehicle interrupts on a front side or a back side of the object vehicle, based on a detection value of the relative position with respect to the object vehicle, a detection value of the relative speed, and a positive or negative of the detection value of the relative speed.

Lane change prediction system and lane change prediction method

An inference device obtains an inference value of a time taken to melt frost for defrosting temperature information representing a temperature of an outdoor-side heat exchanger included by an outdoor unit of an air-conditioning apparatus or a state of change in the temperature. In the inference device, the time taken to melt frost is a period during which the temperature of the outdoor-side heat exchanger is stable within a first range. The inference device includes a first data acquisition unit that acquires the defrosting temperature information of the air-conditioning apparatus, and an inference unit that obtains, by using a trained model that infers a time taken to melt frost from the defrosting temperature information and in accordance with the defrosting temperature information acquired by the first data acquisition unit, an inference value of the time taken to melt frost for the defrosting temperature information.

Inference device and learning device

An information collection unit collects information indicating a driving operation of a vehicle by a driver and a state of the vehicle changed by the driving operation, and outputs, among the collected information, information in a period from a start point at which a driving operation contributing to stop of the vehicle is performed to a stop start point in a stop state where a stop time of the vehicle continues for a predetermined time or more, as driving operation information. A state estimation unit acquires driver state information indicating a state of the driver from a learned learner on which machine learning has been performed so as to output the driver state information when the driving operation information is input, by inputting the driving operation information output from the information collection unit to the learner and performing arithmetic processing of the learner.

Driver state estimation device, driver state estimation method, and learning method

An environmental information acquiring unit for acquiring one or more pieces of environmental information, an important information specifying unit for specifying important environmental information among the pieces of environmental information acquired by the environmental information acquiring unit, a calculation unit for performing a calculation related to control of a vehicle on the basis of the pieces of environmental information acquired by the environmental information acquiring unit, and a trained model in machine learning, a contribution information specifying unit for specifying contribution environmental information among the pieces of environmental information used for the calculation by the calculation unit, and a reliability determination unit for determining a degree of reliability of a result of the calculation performed by the calculation unit by comparing the important environmental information specified by the important information specifying unit with the contribution environmental information specified by the contribution information specifying unit are provided.

Vehicle control calculation device, vehicle control apparatus, and vehicle control calculation method

Conventionally, a method in which pieces of point group information for use in position matching between a white line position detected by an object detection sensor and a white line position on a map are extracted from the white line positions according to a travel environment, has not been taken into account. In the present disclosure, a point group extraction condition is changed according to change in the travel environment so that: a process of position matching that exhibits robustness with respect to change in the travel environment can be realized; and an own position and a white line position existing at a long distance from an own vehicle can be detected with high accuracy.

Own position inferring device

An acquisition unit acquires pieces of information including information related to a vehicle, information related to the environment inside and outside the vehicle, and information related to a driver on board the vehicle. A determination unit determines priorities of the pieces of information acquired by the acquisition unit on the basis of a service or the like used by the driver among services or the likes provided using information accumulated in a server device. A selection unit selects a piece of information to be transmitted to the server device from among the pieces of information acquired by the acquisition unit on the basis of the priorities determined by the determination unit. A communication unit transmits the piece of information selected by the selection unit to the server device.

Information collection device and information collection method

A driving assistance device includes processing circuitry configured to acquire environmental information on an environment around a mobile object, acquire action information on an action of a driver of the mobile object, obtain control information for performing automated driving control of the mobile object on a basis of the acquired environmental information and a machine learning model, determine contribution information having a high degree of contribution to the control information, calculate cognitive information indicating a cognitive region of the driver in the environment around the mobile object, specify unrecognized contribution information estimated not to be recognized by the driver, and output driving assistance information necessary for driving assistance on a basis of the unrecognized contribution information.

Driving assistance device and driving assist method

A notifying device predicts the position of a vehicle, on a road through which the vehicle is predicted to pass, after a lapse of the time taken for the driver to fall into an abnormal state. When the predicted position of the vehicle is included in a communication impossible area, the notifying device notifies, at the position of a point where an indication that the driver is going to fall into the abnormal state is detected, a call center terminal that the indication that the driver is going to fall into the abnormal state is detected from the driver.

Notifying device and notifying method

Provided are a first route condition acquirer to acquire a route condition of a planned travel route of a moving body, the route including a plurality of sections; a recommended operation definer to define a content of recommended operation information related to a device included in the moving body and an output point in the planned travel route at which the recommended operation information is output; a complexity level determiner to determine a complexity level of a route in one of the sections including the defined output point by using a static route condition out of the route condition of the planned travel route and, when the complexity level of the section is greater than or equal to a threshold value, determining a complexity level of each of the other sections in the planned travel route; and a recommended operation determiner to determine the output point using the determination result.

Information provision device, information provision server, and information provision method

A recognized-region estimation device is provided with a visually-recognized-region calculating unit which calculates a visually-recognized region visually recognized by a driver of a mobile body in a mobile body coordinate system based on the mobile body on the basis of a line-of-sight direction of the driver, and a recognized-region calculating unit which calculates a recognized region recognized by the driver in the mobile body coordinate system on the basis of the visually-recognized region calculated by the visually-recognized-region calculating unit.

Recognized-region estimation device, recognized-region estimation method, and recognized-region estimation program

Disclosed is a display controller including: a main display control unit for controlling a display performed by a main display unit on the basis of main operation information from a main operation unit; and a sub display control unit for controlling a display performed by a sub display unit on the basis of sub operation information from a sub operation unit. When the main operation unit is receiving an operation on the basis of the main operation information, the sub display control unit performs a control operation of not displaying, among the items which the sub display control unit causes the sub display unit to currently display, both the item related to an item to which an operation is being received by the main operation unit, and the item to which a function needing a change in display performed by the main display unit is assigned.

Display controller, display system, and display control method

A reference line detection unitextracts an edge from a distorted image taken by a fisheye camera to thereby determine a curved reference line. A distortion parameter calculation unitcalculates a distortion parameter such that the reference line is made linear. A distortion correction unitcorrects distortion of the distorted image by a distortion correction equation by using the distortion parameter.

Moving object periphery image correction apparatus

When the number of pieces of traveling data belonging to the same category as a category of the current traveling data is equal to or greater than a first number being predetermined, a driving characteristic measurement apparatus selects the traveling data, and, when the number of pieces of the traveling data is less than the first number, selects traveling data whose number of pieces is not less than the first number, from among traveling data belonging to a category similar to the category of the current traveling data. The driving characteristic measurement apparatus measures driving characteristics on a currently traveling road using the selected traveling data.

Driving characteristic measurement apparatus

An in-vehicle deviceregularly transmits to an information distribution serveran acquisition request that includes an own vehicle position and a facility search condition, and acquires facility information matching the condition around the vehicle. The in-vehicle devicecontrols the number of displays of the facility information on the basis of the information in an in-vehicle sensor groupwhen displaying the acquired facility information on a map.

In-vehicle device, information distribution server, and facility information display method

An automatic adjuster, when carrying out an AR superimposed display using a head-up display in a vehicle like a car, is able to perform eye position adjustment for the AR superimposition automatically without increasing a burden to a driver by controlling, according to the eye position information acquired from an eye position detector, in such a manner as to shift the driver's eye position in accordance with the reference position of the superimposed display, which serves as a position where the AR superimposition is performed appropriately, and by controlling a movable part of the driver's power seat the driver of the vehicle takes.

Growing community of inventors

Tokyo, Japan

Takuji Morimoto