Disclosed are a drunk driving prevention system and a drunk driving prevention method using the system that includes a sensor module measuring the alcohol content in exhaled breath of a driver at the time of breath-checking of the driver and a control module configured to check an intoxication state of the driver based on the alcohol content measured by the sensor module to determine whether or not a breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a bypass control unit switching a vehicle into a drivable state when the breath-checking fails.

Driving support ECU outputs an instruction to retract a seatbelt to a seatbelt retracting ECU when a driver of a vehicle is determined to be in an abnormal state where the driver loses an ability to drive the vehicle. Thereby, an upper body of the driver in a weak state is pulled strongly toward a backrest side of a seat. As a result, the driver's upper body is prevented from falling and covering a steering wheel, and LKA (traffic lane keeping control) can be performed properly. The driving support ECU decelerates the vehicle at a target deceleration a to stop the vehicle after outputting the instruction to retract the seatbelt.

A vehicle may be operated in a driving mode with autonomous lateral control and in a driving mode with manual lateral control, where the vehicle has a steering lever with a steering lever range, and where the steering lever range represents a circular space which is delimited about 360° by a rotational movement of the steering lever about a steering lever axis of rotation. A method associated with the vehicle may include one or more of the following steps: operating the vehicle in a driving mode with autonomous lateral control; detecting an intrusion in the steering lever range and/or a breaching of a predefined distance from the steering lever range by the vehicle occupant or another object with a sensor unit without the vehicle occupant coming into contact with the steering lever; and signaling the intrusion and/or the breaching of the distance to the vehicle occupant.

A driving assistance system and a driving assistance method are provided. The driving assistance system includes a physiological information sensing system, an external physical symptom detection system, and a processing device. The physiological information sensing system is configured to sense physiological information of a driver. The external physical symptom detection system is configured to detect an external physical symptom of the driver. The processing device is coupled to the physiological information sensing system and the external physical symptom detection system. When the physiological information of the driver and the external physical symptom of the driver are abnormal, the processing device initiates an emergency procedure.

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.

An evacuation running assistance system includes a peripheral environment recognizer to recognize at least a space of a road shoulder and a free space as a non-traffic portion, a time limit setter to set a time limit on the own vehicle for continuing evacuation running, and an evacuation place setter to determine at least one of the road shoulder space and the free space recognized by the peripheral environment recognizer as an evacuation place where the own vehicle is evacuated. A situation determiner determines a situation of an own vehicle as being in one of situations in which evacuation running is to be continued, running of an own vehicle is to be stopped on a lane, and road shoulder evacuation is to be performed based on the time limit. A controller controls the own vehicle based on the situation of the own vehicle determined by the situation determiner.

A method for providing instructions for controlling vehicle, the method comprising: predicting a near-future driving path for the vehicle using sensor data received from environmental sensors of the vehicle. Retrieving at least one acceptable spatial deviation value indicative of the acceptable deviation from the predicted driving path. Determining a limit velocity value or a longitudinal deceleration value based on predetermined relations between spatial deviations from the near-future driving path and vehicle motion parameters and corresponding error values. The limit velocity value and the longitudinal deceleration value are determined with the constraint that the acceptable spatial deviation is not violated along the predicted driving path. Providing an instruction signal comprising an instruction for the vehicle to travel below the limit velocity value, or comprising an instruction to decelerate according to the longitudinal deceleration value in the event of a safe stop procedure.

An autonomous vehicle which transports a user through autonomous driving, having: a body temperature sensor that detects a body temperature of the user; in-cabin signage attached in a vehicle cabin; and a sanitation controller that adjusts a sanitation state in the vehicle cabin. When the body temperature of the user detected by the body temperature sensor is greater than or equal to a predetermined threshold, the sanitation controller causes the in-cabin signage to display a sanitation caution message.

A system for monitoring a driver comprises that a first sensor configured to detect first physical condition information of the driver, a second sensor configured to detect first driving state information of a vehicle; and a controller configured to determine whether a physical condition of the driver is abnormal on the basis of the first physical condition information, and determine whether a driving pattern of the driver is abnormal on the basis of the first driving state information.

An autonomous vehicle which includes multiple independent control systems that provide redundancy as to specific and critical safety situations which may be encountered when the autonomous vehicle is in operation.