Document Type : Research Paper
1 Civil Engineering Department, University of Technology, Baghdad - Iraq
2 Middle Technical University, institute of applied arts, Baghdad - Iraq
Avoiding collisions is an important matter in the majority of transport systems and in many other applications in driverless cars it is very important to have an active collision avoidance system since only the car to take an action and no driver to help. The goals of collision avoidance systems are tracking objects of possible collision risks and decide any action to avoid or mitigate a collision with the help of sensors and radars. Car accidents have become quite common nowadays. After investigations, conclusions have stated that a great deal of those accidents happened because drivers fail to stop the car at the right time. Sometimes, the pedestrians are not crossing the road at the right time. Researchers discovered that about 35 percent of people die due to accidents, 98 percent of which die because of fatal road accidents. Many car industries have proposed an AI system in the vehicles for the aim of reducing accidents and this is considered as the backbone of the auto-driven car. However, this system is complex and expansive. That is why; ordinary people are still under the risk of accidents . The system proposed to driverless cars is simulated and modeled via small Miniatures and in Matlab and assembled in Arduino.