This disclosure is directed to vehicle fuel systems that include door opening modules for controlling a fuel door opening sequence. An exemplary door opening module may include an actuator (e.g., a motor, an electromagnet, a solenoid, etc.) for automatically moving the fuel door to an ajar position after a fuel tank depressurization sequence is completed. Sound messages may be communicated to a user during the depressurization sequence by an audio actuator.

A motorcycle driving assistance device includes: a curve traveling determination unit for determining whether or not an own vehicle is traveling on a curve; a radius-of-curvature calculation unit for, when it is determined that the own vehicle is traveling on a curve, calculating a radius of curvature of the curve; an other-vehicle lane estimation unit for comparing the radius of curvature and a distance between another vehicle and a center of curvature of the curve, and estimating a traveling lane of the other vehicle; and an alarm determination unit for determining whether or not output of an approach alarm is needed, on the basis of a distance between the own vehicle and the other vehicle, a relative velocity of the other vehicle, and a relationship between a traveling lane of the own vehicle and the traveling lane of the other vehicle.

A method grants an enablement of refueling of a motor vehicle. The method includes the steps: i) detecting a tank temperature value which is indicative of the present temperature of at least one pressure vessel of the motor vehicle and/or of the fuel stored in the at least one pressure vessel; ii) determining a temperature difference value which is indicative of the present difference between the tank temperature value and an ambient temperature value which is indicative of the ambient temperature; and iii) releasing a tank flap, wherein the tank flap is released by the motor vehicle for the purposes of refueling only if the temperature difference value is lower than a temperature difference threshold value.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A full charge notification device of a urea water tank for a vehicle is provided. The device is configured to generate a predetermined sound when urea water is normally injected into the urea water tank before a full state, to provide a notification to a user of a full state of the urea water tank through non-generation of the sound.

An apparatus for determining a concentration of a driver includes: a region-of-interest definition processor configured to define a region-of-interest based on traffic-related information on front image information of a vehicle running; a driver eye-gaze detection processor configured to detect a plurality of eye-gaze points from driver image information of a driver in accordance with an eye-gaze movement of the driver; a driver concentration information calculation processor configured to calculate concentration information of each of the eye-gaze points; an image coordinate system processor configured to convert the region-of-interest to an image coordinate system and convert positions of the eye-gaze points to the image coordinate system; and a concentration determination processor configured to determine a concentration of the driver on the image coordinate system based on the concentration information.

Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.

A vehicle safety system is for preventing child abandonment in a vehicle. The vehicle safety system may include a flow sensor for fuel in the vehicle, and a controller coupled to the flow sensor and a seat sensor. The controller may be configured to detect when the vehicle is in a fueling state based upon the flow sensor, and detect occupancy of a child safety seat based upon the seat sensor. The controller may be configured to if the vehicle does not enter the fueling state within a first time period, then cause the vehicle to enter a first alert state, and if the vehicle does not enter the fueling state within a second time period greater than the first time period, then cause the vehicle to enter a second alert state.

A system for determining a state of a driver includes a face tracking device configured to detect coordinates and a direction vector of a face at intervals of a sampling time from a face image of the driver, an event detecting device configured to detect valid behavior of a vehicle as an event, and a determination device configured to determine an impaired state of the driver based on a reflex response time of the driver when the event is detected by the event detecting device.