A driving assistance control apparatus of a vehicle includes a blind area detector, a driving operation detector, and an electronic control unit. The blind area detector is configured to detect the presence or absence of a blind area as seen from the vehicle in a traveling direction of the vehicle. The driving operation detector is configured to detect driving operation of the driver. The electronic control unit is configured to perform automatic deceleration control of the vehicle based on detection of the presence of the blind area by the blind area detector. The electronic control unit is configured to start the automatic deceleration control, by referring to the driving operation of the driver after detection of the presence of the blind area by the blind area detector.

The present application discloses an intelligent driving system with an embedded driver model. The system includes a driver model module that can tune vehicle performances according to driving characteristics of a driver and road environment. Applying the system provided by the present application to vehicle control systems, the driver's visual and tactile information may be taken into account when driving a vehicle, so as to tune vehicle performances to allow the vehicle to adapt itself to the individual driver.

A vehicle arithmetic system includes a single information processing circuitry. performs control of vehicle external environment estimation circuitry configured to receive outputs from sensors that obtain information of a vehicle external environment, and estimate the vehicle external environment including a road and an obstacle; a route generation circuitry configured to generate a traveling route of the vehicle which avoids the obstacle estimated on the road estimated, based on an output from the vehicle external environment estimation unit; and a target motion determination circuitry configured to determine a target motion of the vehicle so that the vehicle travels along the traveling route generated by the route generation circuitry.

A system for generating and presenting an explanation to a user includes an input module configured to receive sensor data and input the sensor data to a control system of an automated system, the control system configured to control operation of the automated system based on the sensor data and according to a gray box decision making algorithm. The system also includes an explanation module configured to generate an explanation of a decision made by the control system and a corresponding behavior of the automated system, the explanation generated based on at least one of: a request by the user, and a user model, and a display module configured to present the generated explanation to the user.

The invention relates to a system that interacts with an occupant of a motor vehicle, comprising: —a measuring device comprising at least one sensor arranged to capture at least one parameter relating to the occupant of said vehicle, —an on-board processing unit using an evaluation model for the emotional state of the occupant, said processing unit being arranged to receive said parameter and to define a data item representative of the emotional state of said occupant using the model, —the representative data corresponding to a point in a three-dimensional space for characterising the emotional state of the occupant, and —at least one actuator configured to activate at least one multi-sensory stimulus for interaction with the occupant, said stimulus allowing the emotional state of said occupant to be altered.

A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

One embodiment described herein relates to a method for supervising a dynamic system, for example a vehicle. The method includes receiving a system state sample and calculating, for a specific time instant, a reachable set of system states based on a current system state and a system model representing the dynamic system. The method further includes calculating a mathematical representation of a specific manifestation of a generic rule and calculating an allowed subset of system states based on the reachable set and the mathematical representation of the specific manifestation of the generic rule. Furthermore, the method includes testing whether the system state sample is within the allowed subset.

A system for a vehicle includes a memory configured to store modeling parameters, generated using an algorithm that assigns relevance scores to features, that specify information indicative of how configuration data including information indicative of use of features of the vehicle classifies which user is currently using the vehicle. The system also includes a processor programmed to monitor the vehicle for the configuration data, identify a most likely user profile using the modeling parameters according to the configuration data, and apply settings of the user profile to the vehicle.

Aspects of the present disclosure relate to a control system, a system, a method, a vehicle and a non-transitory computer readable medium for receiving user movement data indicative of movement of a user's head; receiving object movement data indicative of movement of an object, the object being associated with a non-driving task; determining one or more relative movement parameters indicative of the relative movement of the user's head with respect to the object based at least in part on the received user movement data and the object movement data; and determining an attention level of the user to the non-driving task in based at least in part on the determined relative movement parameter.

A system for facilitating transfers of control includes an input module configured to acquire a set of user preferences relating control states to contexts, the control states including at least a manual control state, and an autonomous and/or semi-autonomous control state. The system includes a processing device configured to automatically perform, during operation of a semiautonomous system, generating a transfer of control (TOC) policy based on the set of user preferences and a current context state, the TOC policy prescribing transitions between control states in response to actions. The processing device is also configured to perform, based on an action performed by the user or a control system, determining whether to perform a transition from a current control state to a second control state, and in response to the TOC policy prescribing the transition, transitioning from the current control state to the second control state.