Computer vision is a field of artificial intelligence (AI) that aims to enable computers to interpret and understand images and videos. In the context of #autonomousvehicles, #computervision technology is used to help cars “see/” the world around them and make decisions based on that understanding.

Autonomous vehicles rely on a range of sensors to gather information about their surroundings, including cameras, LIDAR (Light Detection and Ranging), and RADAR (Radio Detection and Ranging). Computer vision algorithms are used to process data from these sensors, identify and classify objects in the car's environment.

For example, computer vision technology can help a self-driving car detect other vehicles on the road, identify traffic lights and road signs, and recognize pedestrians and cyclists. This information can then be used by the car's control system to make decisions about how to navigate traffic, adjust speed and avoid obstacles.

Computer vision for autonomous vehicles is a complex and rapidly evolving field, requiring expertise in machine learning, computer science and robotics. Advances in computer vision technology are expected to play a vital role in the development of self-driving cars, making them safer, more efficient and more reliable.

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