Shaping the Landscape of Self-Driving Cars with more Powerful Technologies
<p>Sensor fusion involves integrating data from diverse sensors like LiDAR, cameras, radar, and more. Each sensor brings unique strengths, but also inherent limitations. The complexity arises from reconciling these differences to create a cohesive and reliable perception of the environment. The fusion model must handle varying data formats, synchronize inputs, handle uncertainties, and filter out noise. Advanced machine learning algorithms play a pivotal role, learning to weigh and interpret inputs effectively, resulting in a unified and accurate picture of the car’s surroundings.</p>
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