Abstract: An information estimating system includes an acquisition unit configured to acquire an operation item for vehicle-mounted equipment mounted on a vehicle and a vehicle environment state, which is at least one of a vehicle status and a traveling state of the vehicle when the operation item is operated for each of a plurality of drivers, a learning unit configured to learn the operation item and the vehicle environment state of each of the plurality of drivers acquired by the acquisition unit in association with each other, and an estimator configured to estimate the operation item for the vehicle environment state at a predetermined time point of a specific driver based on the learned result learned by the learning unit.

Abstract: An information processing system includes a processor, and the processor acquires a vehicle driving environment composed of N-dimensional parameters, refers to an ideal driving driver model indicating an ideal driving environment region in an N-dimensional coordinate system, and selects one ideal driving environment included in the ideal driving environment region based on a distance between the ideal driving environment region and the acquired vehicle driving environment in the N-dimensional coordinate system.

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: 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 automation level determination section selects one of automation levels defined at a plurality of stages based on a deviation degree of reliability, the deviation degree corresponding to each of a plurality of kinds of driving behaviors that are estimation results obtained using a driving behavior model. A generator generates presentation information by applying the plurality of kinds of driving behaviors to an output template corresponding to one selected automation level in output templates corresponding to the automation levels defined at the plurality of stages respectively. An output unit outputs the presentation information that is generated.

Abstract: A display system for use in a mobile body includes an acquisition unit that acquires detection information of at least one detection object that exists in a target space, a display unit that displays a virtual image in the target space, and a controller that controls display of the display unit. In the target space, at least one detection area is provided. The at least one detection object includes a first detection object that exists closest to the mobile body and a second detection object that has the shortest time to collision with the mobile body. The controller determines, as a display object, at least one of the first detection object and the second detection object in the at least one detection object that exists in the detection area based on the detection information, and causes the display unit to display the virtual image corresponding to the display object.

Abstract: A display system includes a projector that projects a virtual image onto a target space to allow a target person to visibly recognize the virtual image and a controller that controls display of the virtual image. When the projector projects a virtual image corresponding to a caution object, the controller selects at least one reference point from one or more candidate points existing around the caution object and associates the virtual image with the at least one reference point.

Abstract: A driving support device as an example of a data processor executes processing for estimating a driving behavior of a vehicle by using a driving behavior model trained based on detection results by a sensor. A detected-information input unit acquires detected information including the detection results. From the detection results included in the detected information input to the detected-information input unit, a selection unit selects a detection result that falls within predetermined selection range narrower than a range detectable by the sensor. A processing unit executes the processing, based on the detection result selected by the selection unit.

Abstract: A display device includes a display unit, an imaging optical element, a detector, and an adjustor. The display unit includes a display surface for displaying an image. The imaging optical element includes an element plane. The imaging optical element causes the image displayed on the display surface to be imaged as an aerial image in an aerial display region positioned plane-symmetrically to the display surface with respect to the element plane. The detector detects a position of a head of a user existing in front of the display region. The adjustor adjusts a position of the image with respect to the imaging optical element based on a detection result obtained by the detector.

Abstract: This automatic driving assistance device automatically performs least a part of vehicle control including steering, braking, and acceleration and deceleration within a predetermined travel section. The automatic driving assistance device includes: a switching section determination unit that determines, in the travel section, a section in which a first load that is based on a road shape or a road structure becomes equal to or less than a predetermined threshold as a switching section in which the at least a part of the vehicle control is switched from automatic driving to manual driving; a driving action planning unit that, when the vehicle enters the determined switching section, generates an automatic driving action plan so that a second load that is based on a travel situation of nearby vehicles around the vehicle is reduced; and a driving switching unit that ends automatic driving that is based on the automatic driving action plan and switches the automatic driving to the manual driving.

Abstract: An information processing system is provided with a modeling unit. The modeling unit models, based on a degree of similarity among individual travel histories of a plurality of drivers, individual travel histories of at least one or more drivers from among the individual travel histories of the plurality of drivers to construct a driver model indicating a relationship between conditions of the at least one or more drivers and travel environments of at least one or more vehicles.

Abstract: An information processing system that appropriately estimates a driving conduct includes: a detector that detects a vehicle environment state, which is at least one of surroundings of a vehicle and a driving state of the vehicle; a behavior learning unit configured to cause a neural network to learn a relationship between the vehicle environment state detected by the detector and a behavior of the vehicle implemented after the vehicle environment state; and a behavior estimation unit configured to estimate a behavior of the vehicle by inputting, into the neural network that learned, the vehicle environment state detected at a current point in time by the detector.

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: 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: 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: An information processing system capable of estimating a driving conduct suited to a driver includes: a history obtainer that obtains a personal driving environment history of each of a plurality of drivers, each of the personal driving environment histories indicating one or more vehicle behaviors selected by the driver, and a driving environment associated with each of the one or more behaviors, the driving environment being a driving environment of the vehicle at a point in time of selection of the behavior it is associated with; and a modeler that models, from a driving environment history including the personal driving environment histories of the plurality of drivers, the personal driving environment history of at least one of the plurality of drivers, to build a driver model indicating a relationship between a behavior and a driving environment for the vehicle of the at least one of the plurality of drivers.