Abstract: A sensor detects an obstacle to a vehicle. An alert device provides alert information for inquiring a passenger to determine whether to continue automatic driving when a distance between the obstacle and an end of the lane is equal to or larger than a width necessary for travel based on a width of the vehicle. An input device receives a passenger's manipulation to continue automatic driving in response the inquiry provided from the alert device. A command output unit outputs a command to ease lane-based restriction on continuation of automatic driving to an automatic driving control device when the manipulation in response is received.

Abstract: A driving characteristic determination device includes a hardware processor connected to a memory. The processor detects driving information indicating at least one of driving behavior for a vehicle by a driver, biological information of the driver during driving, and behavior of the vehicle. The processor calculates, on the basis of the driving information, numerical values indicating whether a cognitive function of the driver is high or low. The processor analyzes the numerical values indicating whether the cognitive function is high or low. The numerical values are analyzed as cognitive function characteristics relative to one or more different brain functions. The processor outputs information about an analysis result obtained by the analysis of the numerical values.

Abstract: An input unit receives a signal relating to an object. A generation unit generates first information and second information relating to the object based on the signal received by the input unit. A control unit displays the first information that has been generated on a first display device and displays the second information that has been generated on a second display device. The control unit changes the display mode of the first information with the passage of time according to the first regularity and the display mode of the second information with the passage of time according to the second regularity corresponding to the first regularity.

Abstract: A driving assistance device to be installed on a vehicle is provided. The driving assistance device receives stop-behavior information of the vehicle from an automatic-driving control device. Inquiry information for notifying an occupant on whether a possibility of collision between the vehicle and a person is to be excluded from decision-making of the automatic-driving control device is output when a distance between the person and a point at which the person is predicted to end crossing is greater than or equal to a first threshold and a speed of the person is less than or equal to a second threshold. A command to exclude the possibility of collision between the vehicle and the person from the decision-making is output to the automatic-driving control device when a response signal of a response operation is performed by the occupant.

Abstract: A driving assistance device executes processing relating to a behavior model of a vehicle. Detected information from the vehicle is input to a detected information inputter. An acquirer derives at least one of a travel difficulty level of a vehicle, a wakefulness level of a driver, and a driving proficiency level of the driver on the basis of the detected information that is input to the detected information inputter. A determiner determines whether or not to execute processing on the basis of at least one information item derived by the acquirer. If the determiner has made a determination to execute the processing, a processor executes the processing relating to the behavior model. It is assumed that the processor does not execute the processing relating to the behavior model if the determiner has made a determination to not execute the processing.

Abstract: Behavior information input unit receives stop-behavior information about vehicle from automatic-driving control device. Image-and-sound output unit outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle is to be excluded from a determination object in automatic-driving control device to notification device, when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit receives a response signal for excluding the collision possibility from the determination object. Command output unit outputs a command to exclude the collision possibility from the determination object to automatic-driving control device.

Abstract: A driving assistance device executes processing relating to a behavior model of a vehicle. Detected information from the vehicle is input to a detected information inputter. An acquirer derives at least one of a travel difficulty level of a vehicle, a wakefulness level of a driver, and a driving proficiency level of the driver on the basis of the detected information that is input to the detected information inputter. A determiner determines whether or not to execute processing on the basis of at least one information item derived by the acquirer. If the determiner has made a determination to execute the processing, a processor executes the processing relating to the behavior model. It is assumed that the processor does not execute the processing relating to the behavior model if the determiner has made a determination to not execute the processing.

Abstract: An input unit receives a first image that captures a scene in front of a vehicle or a scene in front of a user on board a vehicle at a first point of time. A generator generates a third image showing a result of prediction of the scene in front at the first point of time, based on a second image that captures the scene in front at a second point of time preceding the first point of time. A display controller controls display of information presentation based on a result of comparison between the first image received by the input unit and the third image generated by the generator using a predetermined criterion.

Abstract: An input unit receives a signal relating to an object. A generation unit generates first information and second information relating to the object based on the signal received by the input unit. A control unit displays the first information that has been generated on a first display device and displays the second information that has been generated on a second display device. The control unit changes the display mode of the first information with the passage of time according to the first regularity and the display mode of the second information with the passage of time according to the second regularity corresponding to the first regularity.

Abstract: Behavior information input unit receives stop-behavior information about vehicle from automatic-driving control device. Image-and-sound output unit outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle is to be excluded from a determination object in automatic-driving control device to notification device, when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit receives a response signal for excluding the collision possibility from the determination object. Command output unit outputs a command to exclude the collision possibility from the determination object to automatic-driving control device.

Abstract: Behavior information input unit (54) receives stop-behavior information about vehicle (100) from automatic-driving control device (30). Image-and-sound output unit (51) outputs inquiry information for inquiring of an occupant whether a possibility of collision between an obstacle and vehicle (100) is to be excluded from a determination object in automatic-driving control device (30) to notification device (2), when a distance from one point on a predictive movement route of the obstacle to the obstacle is greater than or equal to a first threshold, and a speed of the obstacle is less than or equal to a second threshold. Operation signal input unit (50) receives a response signal for excluding the collision possibility from the determination object. Command output unit (55) outputs a command to exclude the collision possibility from the determination object to automatic-driving control device (30).

Abstract: The driving assistance device acquires, from an autonomous driving controller that determines an action of a vehicle during autonomous driving of the vehicle, action information indicating a first action that the vehicle is caused to execute. The driving assistance device acquires, from a detector that detects a surrounding situation and a travel state of the vehicle, detection information indicating a detection result. The driving assistance device determines a second action which is executable in place of the first action, based on the detection information. The driving assistance device generates a first image representing the first action and a second image representing the second action. The driving assistance device outputs the first image and the second image to a notification device such that the first image and the second image are displayed within a fixed field of view of a driver of the vehicle.

Abstract: An information processing system receives first travel histories from vehicles that belong to vehicle type A, learns based on the first travel histories to build a first driver model that represents relation between travel situations and behaviors of the vehicles that belong to a first vehicle type, receives second travel histories from vehicles that belong to vehicle type X that is different from vehicle type A, and performs transfer learning in which the second travel histories are used for the first driver model to build a second driver model that represents relation between travel situations and behaviors of the vehicles that belong to vehicle type X.

Abstract: Provided is a technology for improving accuracy in determining the next action. Travel history generator generates, for each driver, a travel history associating an environmental parameter indicating a travel environment through which a vehicle has previously traveled with an action selected by the driver in response to the environmental parameter. Acquisition unit acquires a travel history similar to a travel history of a current driver from among travel histories generated by travel history generator. Driver model generator generates a driver model based on the travel history acquired by acquisition unit. Determination unit determines the next action based on the driver model generated by driver model generator) and an environmental parameter indicating a current travel environment of the vehicle.

Abstract: A sensor detects an obstacle to a vehicle. An alert device provides alert information for inquiring a passenger to determine whether to continue automatic driving when a distance between the obstacle and an end of the lane is equal to or larger than a width necessary for travel based on a width of the vehicle. An input device receives a passenger's manipulation to continue automatic driving in response the inquiry provided from the alert device. A command output unit outputs a command to ease lane-based restriction on continuation of automatic driving to an automatic driving control device when the manipulation in response is received.

Abstract: A controller is connected to a seat for which a backward tilt angle of a backrest can be changed and to a display device for which an angle of projection of a display light can be changed. An acknowledgment unit acknowledges a selection of one of a plurality of items of identification information. A control unit acquires, when the acknowledgment unit acknowledges a selection of one of the plurality of items of identification information, a backward tilt angle and an angle of projection corresponding to the selected identification information from a storage to control the seat so that a first angle determined by the backward tilt angle acquired is set as the backward tilt angle of the backrest and to control the display device so that a second angle determined by the angle of projection acquired is set as the angle of projection of the display device.

Abstract: During autonomous driving of a vehicle, useful Information is presented to an occupant. An image generator in driving assistance device generates a first image representing an action the vehicle is capable of executing depending on a travel environment during autonomous driving and a second image representing a basis of the action. Image output unit outputs the first image and the second image generated by the image generator to notification device in the vehicle in association with each other. The action vehicle is capable of executing may be selected from among action candidates by a driver.

Abstract: An image display system includes a first processor, a second processor, and a comparator. The first processor acquires a behavior estimation result of a vehicle, and generates future position information after a predetermined time passes of the vehicle based on the behavior estimation result. The second processor acquires present information about the vehicle, and generates present position information on the vehicle and a peripheral object based on the acquired information. The comparator compares the future position information on the vehicle and the present position information on the vehicle and the peripheral object, and generates present image data indicating present positions of the vehicle and the peripheral object and future image data indicating future positions of the vehicle and the peripheral object. Further, the comparator allows a notification device to display a present image based on the present image data and a future image based on the future image data together.

Abstract: An information processing system receives first travel histories from vehicles that belong to vehicle type A, learns based on the first travel histories to build a first driver model that represents relation between travel situations and behaviors of the vehicles that belong to a first vehicle type, receives second travel histories from vehicles that belong to vehicle type X that is different from vehicle type A, and performs transfer learning in which the second travel histories are used for the first driver model to build a second driver model that represents relation between travel situations and behaviors of the vehicles that belong to vehicle type X.

Abstract: A driving assistance device executes processing relating to a behavior model of a vehicle. Detected information from the vehicle is input to a detected information inputter. An acquirer derives at least one of a travel difficulty level of a vehicle, a wakefulness level of a driver, and a driving proficiency level of the driver on the basis of the detected information that is input to the detected information inputter. A determiner determines whether or not to execute processing on the basis of at least one information item derived by the acquirer. If the determiner has made a determination to execute the processing, a processor executes the processing relating to the behavior model. It is assumed that the processor does not execute the processing relating to the behavior model if the determiner has made a determination to not execute the processing.