Disclosed is a vehicular electronic device including a processor configured to receive information on a user gaze direction, to determine whether a user looks forward based on the information, to perform control to make a call using voice only upon determining that the user looks forward, and to perform control to make a call using voice and an image upon determining that the user does not look forward.

A control system, computer-readable storage medium and method of preventing occlusion of and minimizing shadows on the driver's face for driver monitoring. The system includes a steering wheel, a plurality of fiberscopes arranged evenly spaced around the steering wheel, and one or more video cameras arranged at remote ends of the plurality of fiberscopes. Distal ends of the fiberscopes emerge to a surface of the steering wheel through holes that are perpendicular to an axis of rotation of the steering wheel. Each of the distal ends of the fiberscopes includes a lens. The system includes a plurality of light sources and an electronic control unit connected to the one or more video cameras and the light sources.

An advanced driver assistance system (ADAS) and method for a vehicle include a light intensity detection system configured to detect a set of light density changes proximate to a face of a driver of the vehicle, a vehicle-to-everything (V2X) communication system, a global navigation satellite system (GNSS) system, and a controller configured to detect a current glare condition based on the set of detected light density changes from the light intensity detection system, share, using the V2X communication system, the detected current glare condition and the corresponding GNSS location, based on the sharing and another set of parameters, determine whether the vehicle is likely to experience a future glare condition during a future period, and in response to determining that the vehicle is likely to experience the future glare condition during the future period, at least one remedial action.

A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device programmed to: (i) receive driving event records including phone usage by a user that occurred within a time period of a driving event, (ii) divide the driving event records into at least two clusters based at least in part upon common features of one or more driving event records of the plurality of driving event records by processing the driving event records using an unsupervised machine learning algorithm, (iii) generate a trained model based at least in part upon the at least two clusters including cluster labels, (iv) process a new driving event using the trained model, (v) assign the new driving event to one of the at least two clusters using the trained model, and (vi) based at least in part upon the cluster labels for the assigned cluster, determine whether the new driving event is an actual distracted driving event or a passenger event.

The present invention determines whether a vehicle is traveling at a location where preparation is needed for the vehicle to exit to another road branching from a current traveling road, estimates a lane change intention of a driver when it is determined that a lane change is needed for the vehicle to exit the current traveling road, and communicates the lane change to neighboring vehicles by activating a turn signal when the lane change intention is estimated.

The present invention is provided with: an identification unit 421 that identifies a viewing direction of a driver based on a captured image including the face of the driver; a distractedness detection unit 422 that detects, based on the viewing direction identified by the identification unit 421, distractedness that the driver views a direction different from a front side of a vehicle for a certain period of time or longer; an operation accepting unit 423 that accepts an operation on an operation member disposed inside the vehicle when distractedness of the driver is not detected by the distractedness detection unit 422, and restricts an operation on the operation member when distractedness of the driver is detected by the distractedness detection unit 422; and a display control unit 424 that displays an image based on the operation accepted by the operation accepting unit 423 when the distractedness of the driver is not detected by the distractedness detection unit 422, and displays a warning image for warning that the driver is not attentively viewing the front side when the distractedness of the driver is detected by the distractedness detection unit 422.

A driving assistance device includes a determination unit to, when a vehicle is transitioned to a movable state by start of driving assistance of the vehicle and a display related to the driving assistance is presented, determine whether or not a driver is in a drivable state in which the driver is capable of consciously performing an operation, based on whether or not the driver has recognized the display, and a control unit to allow acceptance of the operation when the determination unit determines that the driver is in the drivable state.

An apparatus, method and computer program product provide a map layer of one or more temporary dynamic obstructions. For example, the apparatus is configured to receive vehicle/driver behavior data associated with a vehicle at a portion of a road, determine a likelihood of a temporary dynamic obstruction existing proximate to the portion based on the vehicle behavior data, and update a datapoint of a map layer based on the likelihood. The datapoint indicates a state of existence of the temporary dynamic obstruction at the portion.

A method and device for determining whether a user is actively driving a motor vehicle or car sick. The sensor device is provided for sensing eye movement of the user and the method includes supplying an artificial intelligence with data originating from the sensor device in order to recognize at least one frequency of eye movements of the user, a frequency of eye movements above a first threshold characterizing a visualization by the user of a passing landscape, and being distinguished from a concentration of gaze of a vehicle driver, and determining a current frequency of eye movements of the user and comparing the current frequency with the first threshold, and if the current frequency is greater than the first threshold, triggering a notification signal for the user.

A cockpit system adjustment apparatus and a cockpit system adjustment method. The apparatus includes: a calibration control module, configured to control a HUD device to display a plurality of AR calibration points to a user; an image obtaining module, configured to obtain a user image generated when the user watches the plurality of AR calibration points; and a processing module, configured to: determine, based on the user image and location information of the plurality of AR calibration points, observation angle information generated when the user watches the plurality of AR calibration points and height information of the user; and determine, based on the observation angle information and the height information, cockpit system configuration information applicable to the user. The cockpit system configuration information includes a HUD device configuration parameter and a seat device configuration parameter.