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What is Asynchronous Track Fusion for Multi-Radar Systems about?

This paper presents a communication-efficient asynchronous fusion framework for multi-radar systems, addressing challenges of asynchronous sensing timestamps and limited communication bandwidth. The proposed method utilizes state and covariance projection within a Kalman filtering framework to optimize tracking accuracy while minimizing communication overhead. Monte Carlo simulations demonstrate significant reductions in estimation errors, indicating the effectiveness of the approach for practical deploymen

Author

Audrius B

Language

EN