A method of controlling switching to a manual driving mode in an autonomous vehicle provided with a foldable pedal device is provided. In the method, when a signal for switching a driving mode from an autonomous driving mode to the manual driving mode is generated in an autonomous vehicle provided with a foldable accelerator pedal device and a foldable brake pedal device, whether it is possible to switch the driving mode to the manual driving mode is determined by checking safety conditions; when the safety conditions are satisfied, it is determined whether a pop-up position of a pad of the foldable accelerator pedal device and a pop-up position of a pad of the foldable brake pedal device are normal pop-up positions, respectively; and only when the positions are the respective normal pop-up positions, the driving mode is switched to the manual driving mode.

The present invention obtains a control system, a controller, and a control method capable of appropriately controlling body behavior of plural motorcycles that travel in group.

In a control system (1), a controller (12), and a control method according to the present invention, in plural motorcycles (10) to each of which an environment sensor (11) and the controller (12) are mounted and in each of which a control mode for controlling body behavior is executed by the controller (12) on the basis of output of the environment sensor (11), a first controller that is mounted to a first motorcycle of the plural motorcycles (10) transmits acquired information that is acquired during execution of the control mode to a second controller that is mounted to a second motorcycle other than the first motorcycle of the plural motorcycles (10), and the second controller receives the acquired information and executes the control mode on the basis of the acquired information.

An environmental information acquiring unit (11) to acquire environmental information on an environment around a mobile object, an action information acquiring unit (12) to acquire action information on an action of a driver of the mobile object, a calculation unit (13) to obtain control information for performing automated driving control of the mobile object on the basis of the environmental information acquired by the environmental information acquiring unit (11) and a machine learning model (18) that uses the environmental information as an input and outputs the control information, a contribution information determining unit (14) to determine contribution information having a high degree of contribution to the control information on the basis of the environmental information and the control information, a cognitive information calculating unit (15) to calculate cognitive information indicating a cognitive region of the driver in the environment around the mobile object on the basis of the action information and the environmental information, a specification unit (16) to specify unrecognized contribution information estimated not to be recognized by the driver on the basis of the contribution information and the cognitive information, and an information output control unit (17) to output driving assistance information necessary for driving assistance on the basis of the unrecognized contribution information specified by the specification unit (16) are provided.

A method for visually tracking a gaze point of a human eye includes: periodically obtaining position coordinates of a human eye of a driver of a host vehicle and coordinates of a gaze point of a sightline of the human eye on ab inner side of a current projection screen; in combination with a refractive index and a curvature of the current projection screen, coordinates of a gaze point of the sightline on an outer side of the current projection screen and a corresponding refracted light path formed by outward refraction of the sightline are obtained, and in combination with a preset normal viewing distance of the human eye, a final gaze point of the sightline on the refracted light path and coordinates of the final gaze point are obtained.

A system for an attention-based perception includes a camera device configured to provide an image of an operating environment of a vehicle. The system further includes a computerized device monitoring the image, analyzing sensor data to identify a feature in the image as corresponding to an object in the operating environment and assign a score for the feature based upon an identification, a location, or a behavior of the object. The computerized device is further operable to define candidate regions of interest upon the image, correlate the score for the feature to the candidate regions of interest to accrue a total region score, select some of the candidate regions for analysis based upon the total region scores, and analyze the portion of the candidate regions to generate a path of travel output. The system further includes a device controlling the vehicle based upon the output.

Vehicle sound attenuation systems and methods are provided herein. An example method includes determining a triggering event for a vehicle using an advanced driver assisted technology system, and controlling a sound enhancing system of the vehicle in response to the triggering event. Controlling the sound enhancing system may include attenuating engine or exhaust sound produced by the sound enhancing system of the vehicle.

A method for operating an automated motor vehicle during automated driving includes determining the current motor vehicle route data, a current trajectory of the motor vehicle, and environment information. The method also includes ascertaining a driving maneuver that is to be expected, associating this driving maneuver with one of the at least two motoring comfort levels, and outputting advice to the occupants of the motor vehicle if the current motoring comfort level changes as a result. The method further includes automatically and actively taking measures relating to the interior to adjust the interior to suit the motoring comfort level that is to be expected.

The present disclosure relates to an apparatus and a method for controlling a vehicle, and, particularly, an apparatus and a method for controlling a vehicle capable of preventing a collision accident in advance by expanding a detection area of a vehicle by monitoring a lower end of a parked/stopped vehicle by adjusting a rotation angle of a sensor attached to the lower end of the vehicle on a front side and predicting a situation having a risk for a collision that may occur due to a blind spot in advance can be provided.

A driving support apparatus includes a surrounding information acquisition device which acquires surrounding information, a steering information acquisition device which acquires steering information, a control unit which executes driving support control including at least one of pre-right/left-turn deceleration assist control or pre-right/left-turn warning control when a predetermined first execution condition is satisfied. When a precondition which is satisfied in a case in which an intersection is detected based on the surrounding information and steering operation is being performed by a driver based on the steering information is satisfied, the control unit determines whether or not the first execution condition is satisfied based on the steering operation being performed and traveling lane arrow information which is road arrow information of a traveling lane or adjacent lane arrow information which is road arrow information of an adjacent lane, both of which being stored in a storage device.

Various aspects of a system and method for driving assistance along a path are disclosed herein. In accordance with an embodiment, a unique identifier is received from a communication device at an electronic control unit (ECU) of a first vehicle. The unique identifier is received when the first vehicle has reached a first location along a first portion of the path. A communication channel is established between the first vehicle and the communication device based on the received unique identifier. Data associated with a second portion of the path is received by the ECU from the communication device based on the established communication channel. Alert information associated with the second portion of the path is generated by the ECU based on the received data.