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In this paper, we review the state-of-the-art technologies for driver inattention monitoring, which can be classified into the following two main categories: 1) distraction and 2) fatigue. Driver inattention is a major factor in most traffic accidents. Research and development has actively been carried out for decades, with the goal of precisely determining the drivers' state of mind. In this paper,...
Road traffic, by dimensions, weights and speeds of vehicles which is moving is a danger that requires precise deployment rules, advanced technical systems for safe movement, an appropriate infrastructure etc. Road safety is an issue of interest to all citizens, each of which can contribute to improving safety on public roads. Although the measures taken in this area have proven, road accidents remain...
Vision difference or inattention to the traffic condition often causes the unnecessary traffic accidents while driving. Therefore, this study is to fast detect both the preceding vehicle and lane marking at the least response time 0.5972 seconds. After coordinate transformation converts image plane coordinates of the preceding vehicle to GPS coordinates, the headway between cars is obtained to assist...
Most studies so far on advanced driver assistance systems have assumed perfect knowledge of driving conditions, driver intents which require expensive sensor suite, data communication and processing. In this paper, we study a fairly restrictive driver assistance system supporting ldquoblind spotrdquo, ldquolane departurerdquo detection and ldquosafe following distancerdquo monitoring. A vision-based...
The problem of accessing some coordinates from others in the case of an accident is not trivial. Congestion due to the current state of traffic or certain traffic signal states, frequently delays emergency services in their objective to arrive at the scene of the incident in the shortest time frame possible. The aim of this paper is to provide an introduction to this subject, and introduce a technique...
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