期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304117
出版社：S&S Publications
摘要：Drivers when driving long distances without regular breaks run a high risk of becoming drowsy, a statewhere even the experts fail to recognize it early enough. Survey tells that around one quarter of all serious motorwayaccidents occur due to sleepy drivers in need of a rest (drowsiness) which causes more road accidents than drinkdriving.Attention assist can warn of inattentiveness and drowsiness in an extended speed range and notify drivers oftheir current state of fatigue and the driving time since the last break, offers adjustable sensitivity and, if a warning isemitted, indicates nearby service areas in the COMAND navigation system. A low cost system is developed whichprovides solution to the existing automotive control issues. This system has two main principle components namelyVehicle to Vehicle Collision Avoidance Unit (VVCAU) is used to avoid crashing between vehicles and Black Box(BB) records the relevant details about a vehicle such as Engine Temperature, Distance from obstacle, Speed ofvehicle, Brake status, CO2 Content, Alcohol content, Accident Direction, trip Time and Date. There are several worksregarding pre-crash detection & avoidance system from obstacle at present. To priorities crash with human or animalscompared to obstacles is lacking. Human lives can be saved from an accident by detecting an accident before it occurs.To solve this problem in this work we need advance accurate human or animal detection and also accident detectioncapabilities and then priorities human or animal first to obstacles. Car will avoid human or animal first then if possibleit will try to avoid obstacles also. The system has accident detection technique with pin point location tracking usingGSM if the system is unable to avoid accident.
关键词：Driver drowsiness detection; Accident avoidance; Black box; Collision avoidance
