The present invention relates to a method for detecting and warning of an abnormal condition of a driver of a vehicle based on deep learning. The method includes: a step (a) of allowing a driver condition detection apparatus to input an interior image of the vehicle into a drowsiness detection network to detect a facial part of the specific driver, detect an eye part from the facial part, and detect a blinking condition of eyes to determine a drowsiness condition, and to input the interior image into a pose matching network to detect a body key point of the driver and determine whether the body key point is matched with one of preset driving poses, thereby determining the abnormal condition; and a step (b) of allowing the driver condition detection apparatus, if the driver is determined to have a dangerous condition in reference to a part of the drowsiness condition and the abnormal condition, to transmit information about the dangerous condition to neighboring vehicles through vehicle-to-vehicle (V2V) communication to enable the neighboring vehicles to recognize the dangerous condition. According to the present invention, it is possible to effectively detect a drowsiness condition and an abnormal condition of a certain driver.
V2V METHOD AND DEVICE FOR ALERTING ABNORMAL DRIVER SITUATION DETECTED BY USING HUMANS' STATUS RECOGNITION VIA V2V CONNECTION