Improving the Targets’ Trajectories Estimated by an Automotive RADAR Sensor Using Polynomial Fitting by Georgiana Magu, Radu Lucaciu, Alexandru Isar

“…Different informed strategies for automatically tuning the tracker’s parameters and to jointly learn the parameters and state/output sequence using: expectation maximization; optimization approaches, including the simplex algorithm; coordinate descent; genetic algorithms; nonlinear programming using finite differencing to estimate the gradient; Bayesian optimization and reinforcement learning; automatically tuning hyper-parameters in the least squares, were already proposed. …”
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