The invention relates to a device (20) for assisting a driver of a vehicle to perform physical exercises, comprising:—means (21) for acquiring data representative of a driving context,—means (22) for determining a level of risk, from the acquired data,—means (23) for selecting at least one physical exercise compatible with the level of risk,—means (24) for transmitting a signal indicating to the driver the at least one selected exercise; characterised in that it further comprises—means (21′) for acquiring data representative of a history of exercises performed by said driver, said data coming from a remote storage,—and in that the means (23) for selecting at least one physical exercise also use said data representative of a history in order to select said at least one exercise.

Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.

A vehicle control apparatus including circuitry configured to set a driving performance request in the given environments; determine whether driving performance of each of plural driving functions of a driver satisfies the driving performance request; and identify the driver's driving function that does not satisfy the driving performance request. On condition that an insufficient function is identified or the driving performance request is not satisfied, to realize the driving performance request, the circuitry is configured to perform at least one of controlling the vehicle such that the vehicle performs the identified insufficient function instead and providing the driver with an appropriate information so that the identified insufficient function close to a level of the driving performance request.

A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.

An automated driving system with assistance for a driver in performing a non-driving activity includes an assistance device configured to assist the driver in performing the non-driving activity. The automated driving system, in a first operating state controls the vehicle in an automated manner, and in a second operating state hands over control of the vehicle to the driver. The assistance device is configured to assist the driver in performing the non-driving activity if the automated driving system switches from the first operating state to the second operating state.

The disclosed embodiments are directed to adjusting the operational characteristics of a black box installed in a vehicle. In one embodiment a method is disclosed comprising classifying a mental state of a driver of an automobile, loading at least one setting based on the mental state, the setting defining an operational characteristic of a black box installed in the automobile, configuring the black box using the at least one setting, and recording one or more events by the black box.

A vehicular driving assist system includes an electronic control unit (ECU). When the equipped vehicle is driving in the autonomous mode, driving of the vehicle is controlled by the ECU without human intervention. When the vehicle is being driven in a non-autonomous mode, a particular driver at least partially drives the vehicle. The vehicular driving assist system learns a driving style of the particular driver and, when the vehicle is being driven in the non-autonomous mode by the particular driver, the system restricts learning of the driving style of the particular driver responsive to determination by the system that the particular driver is (i) driving the vehicle erratically and/or (ii) performing an illegal driving maneuver. When the vehicle is driving in the autonomous mode, and responsive to the particular driver being present in the vehicle, the vehicle drives in accordance with the learned driving style of the particular driver.

The embodiments described herein concern a reconfigurable throttle-by-wire pedal subsystem for a vehicle and associated methods. One embodiment detects a pedal error in which a driver of the vehicle mistakenly actuates an accelerator foot pedal unit of the vehicle instead of a separate brake pedal of the vehicle, the accelerator foot pedal unit controlling a throttle of the vehicle, and performs the following in response to the detected pedal error: reconfiguring the accelerator foot pedal unit to control a braking subsystem of the vehicle instead of the throttle and reconfiguring a haptic feedback of the accelerator foot pedal unit from a throttle-by-wire mode to a brake-by-wire mode.

An onboard device estimates a traveling state of a vehicle that may be influenced by the psychological state of a driver, based on an utterance of the driver without the use of various sensors, and includes: a voice collection unit for collecting a driver's voice; a traveling state collection unit for collecting traveling state information representing a traveling state of a vehicle; a database generation unit for generating a database by associating voice information corresponding to the collected voice with the collected traveling state information; a learning unit for learning an estimation model, with pairs including the voice information and the traveling state information recorded in the generated database being used as learning data; and an estimation unit for estimating the traveling state of the vehicle that may be influenced by a psychological state of the driver by using the estimation model, based on an utterance of the driver.

A system and method for providing adaptive trust calibration in driving automation that include receiving image data of a vehicle and vehicle automation data associated with automated of driving of the vehicle. The system and method also include analyzing the image data and vehicle automation data and determining an eye gaze direction of a driver of the vehicle and a driver reliance upon automation of the vehicle and processing a Markov decision process model based on the eye gaze direction and the driver reliance to model effects of human trust and workload on observable variables to determine a control policy to provide an optimal level of automation transparency. The system and method further include controlling autonomous transparency of at least one driving function of the vehicle based on the control policy.