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Technical Paper

Machine Learning Algorithm for Automotive Collision Avoidance

2021-04-06
2021-01-0244
Automotive collision avoidance system is a measure of enhanced safety. Car collisions have claimed the lives of many, and the advancement of science and technology has made collision avoidance a reality. Traditionally, collision avoidance systems are designed with the aim to avoid rear end collision, but in this paper, we are going to look at the collision avoidance with respect to fast approaching automobiles from a blind turn, making use of the navigation system. Here, we reviewed two levels of probability for collision. The first case is with high probability of probable collision and another case is with high probability of imminent collision. If the probability of probable collision is high, the driver is warned and requested to control the speed of the car. If the probability of imminent collision is high, the driver is warned, and autonomous braking takes effect.
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