sensor fusion and perception in autonomous vehicles
Sensor fusion in autonomous vehicles refers to the process of combining data from multiple sensors like cameras, lidar, radar, and others to generate a comprehensive and reliable understanding of the vehicle's surroundings. Perception, on the other hand, involves the interpretation and analysis of this fused sensor data to accurately detect and recognize objects, understand their behavior, and make informed decisions for safe and efficient navigation.
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