Engineers combine measured data, multi-level behavioral models, and simulation tools to predict real-world performance across ...
Abstract: In autonomous driving, motion prediction is vital for anticipating the behaviors of surrounding vehicles, pedestrians, and other road users, enabling the system to make accurate decisions ...
Abstract: Self-supervised learning provides an effective approach to leverage a large amount of unlabeled data. Numerous previous studies have indicated that applying self-supervision to physiological ...
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