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Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
Our findings demonstrate that our novel method, involving temporal offset augmentation through randomized frame skipping in sequences, enhances object detection accuracy compared to both the baseline model (Pillar-based Object Detection) and no augmentation.
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