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A Lightweight Digital-Twin-Based Framework for Edge-Assisted Vehicle Tracking and Collision Prediction

Onsu, Murat Arda et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionnetworking-and-internet-architectureroboticssignal-processing
Vehicle tracking, motion estimation, and collision prediction are fundamental components of traffic safety and management in Intelligent Transportation Systems (ITS). Many recent approaches rely on computationally intensive prediction models, which limits their practical deployment on resource-const
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