A study published in Science Direct shows that out of the motor vehicle collisions studied, 64.2 percent of those involving autonomous vehicles were rear-end accidents, compared to 28.3 percent of accidents involving conventional vehicles.
Self-driving cars use sensors and other technologies to create a map of their surroundings. As they receive more information, they fill in more information on the map. They process the sensory input and plot a path based on it. The vehicles are also equipped with complex algorithms, predictive machine learning systems, and object recognition tools to help software follow traffic rules and avoid collisions.
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