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A Multi-Modal Perception Pipeline for Object Detection and Tracking in Autonomous Racing
Object detection and tracking are fundamental components of perception systems for autonomous driving. Achieving robust performance under adverse conditions such as limited visibility, sensor noise, and failures remains an open challenge, particularly in autonomous racing, where vehicles operate at
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