It covers the fundamental analysis of sensors and sensor fusion techniques for autonomous vehicles. It focuses on the current challenges in sensor fusion and recent achievements of sensor fusion in the light of technical evaluations. It explains the different sensors on the base of the advantages and disadvantages of AVs. It includes deep learning and traditional approaches for surrounding object detection, object recognition, and other vehicle movement detection using different sensors. It also provides cutting-edge assessment matrices for comparing quantitative and qualitative characteristics of various techniques.
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Simona Sacone (2024) studied this question.
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