A system for monitoring a fatigue level of an operator of a vehicle includes a sensor configured to generate a signal indicative of a physiological state of the operator; a display for the operator; and a controller to: receive, from the sensor, the signal; determine the fatigue level of the operator by analyzing the received signal using an algorithm developed using operator fatigue statistics; generate a real-time fatigue report for the operator based on the determined fatigue level of the operator; transmit the generated real-time fatigue report to the display for the operator for display to the operator, and a display for a dispatcher for the vehicle for display to the dispatcher; generate an anonymized version of the real-time fatigue report; and transmit the anonymized version of the real-time fatigue report to a cloud for access by remote users.

An in-vehicle apparatus includes: a check direction determination unit determining a check direction for which the driver of an own vehicle needs a checking action for checking the safety based on a traveling direction of a roadway adjacent to a stall and an unparking direction; a direction information acquisition unit acquiring at least one of the line of sight or the facing direction of the face of the driver; a check occurrence determination unit setting a detection range of the line of sight based on the check direction, and determining whether or not at least the one is within the detection range so as to determine occurrence of the checking action; and a notification control unit controlling a display unit, a speaker, or a vibrator to execute a notification action when the check occurrence determination unit determines that the checking action has not occurred.

A system is provided generating a context-dependent experience for a vehicle driver, e.g., to relax or enhance the driver's mental state. A system controller is configured to receive driving context data regarding a driving situation from various driving context data sources. The driving context data may include vehicle operation data, e.g., generated by vehicle-based sensors, and environmental data regarding an environment external to the vehicle, e.g., received wirelessly from a remote server. The system controller may identify content triggering events based on (a) the received driver context data and (b) a set of content triggering rules. For each content triggering event, the system controller may select one or more human-perceivable contents elements (e.g., audio clips, seat massage settings, or air conditioner settings), and control one or more content output devices (e.g., speakers, seat massage system, or vehicle HVAC system) to output the selected content element(s) to the driver.

A method for monitoring occupants of a vehicle comprises identifying a respective body region for one or more occupants of the vehicle within an obtained image; identifying within the body regions, skeletal points including points on an arm of a body; identifying one or more hand regions; and determining a hand region to be either a left or a right hand of an occupant in accordance with its spatial relationship with identified skeletal points of the body region of an occupant. The left or right hand region for the occupant are provided to a pair of classifiers to provide an activity classification for the occupant, a first classifier being trained with images of hands of occupants in states where objects involved are not visible and a second classifier being trained with images of occupants in the states where the objects are visible in at least one hand region.

Provided are methods for operating a vehicle, which can include receiving, from one or more of at least one sensor placed within a vehicle or an application on a communication device connected to the vehicle, data indicative of at least one of an action or an appearance of a passenger of the vehicle; determining, based on the at least one of the action or the appearance, that a modification of at least one operational parameter of the vehicle is required; and modifying, in response to the determining, the at least one operational parameter of the vehicle. Systems and computer program products are also provided.

The invention relates to a method for preventing fatigue of a driver of a motor vehicle (4), with the steps of: acquiring position data (PDM) indicative of the position of the driver, and activating and/or deactivating light glasses (10) worn by the driver depending on an evaluation of the acquired position data (PDM) indicative of the position of the driver.

A vehicle includes: a plurality of sensor devices that determine a driver state; a driver state determining device that receives detection results from a plurality of sensor devices and determines whether the driver state is a dangerous state; and a driving assistance device that performs lane keeping control and speed control of a vehicle and transmits a network connection request to a management server when the driver state determining device has determined the dangerous state.

A system for controlling one or more functions of a vehicle responsive to a cognitive state of a vehicle user comprises one or more controllers configured to receive cognitive state data indicative of a cognitive state of the user of the vehicle and context data indicative of a context of one or both of the user and the vehicle. The one or more controllers are configured to control the one or more functions of the vehicle in dependence on the received indication of the cognitive state of the user and the context data. The controllers are configured to output control data for controlling the one of more functions of the vehicle.

A vehicle includes a system and method of navigating the vehicle. The system includes a sensor and a processor. The sensor captures an image of a roadway. The processor focuses the sensor at a road segment selected from a plurality of road segments of the roadway using a machine learning program based on a risk of the road segment. The machine learning program is trained to focus the sensor by calculating the risk for each of the plurality of road segments of the roadway based on a hazard probability associated with each road segment and an occupancy probability associated with each road segment, selecting the road segment from the plurality of road segments based on the risk associated with the road segment, and determining a reduction in the risk for a road risk model of the roadway due to selecting the road segment.

A computer-implemented method for determining an estimate of the capability of a vehicle driver to take over control of a vehicle, wherein the method comprises: determining at least one estimation parameter, the at least one estimation parameter representing an influencing factor for the capability of the vehicle driver to take over control of the vehicle; and determining an estimate on the basis of the at least one estimation parameter by means of a predefined estimation rule, the estimate representing the capability of the vehicle driver to take over control of the vehicle.