Autonomous vehicles rely on a variety of sensors to perceive and understand their environment. Each sensor has unique capabilities and functionalities that contribute to the overall perception and decision-making process. Let's explore the different types of sensors commonly used in autonomous vehicles and their functionalities:
1. Cameras: Cameras are one of the primary sensors used in autonomous vehicles. They capture visual data from the surrounding environment and provide crucial information about objects, road conditions, and traffic signs. Cameras can detect and track objects, identify lane markings and traffic lights, and assist in recognizing pedestrians and cyclists. Advanced computer vision algorithms analyze the camera images to extract relevant features and make sense of the visual data.
2. Lidar (Light Detection and Ranging): Lidar sensors use laser beams to measure distances and create detailed 3D maps of the surroundings. By emitting laser pulses and measuring the time it takes for the pulses to return after hitting objects, lidar sensors can accurately determine the distan....
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