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Showing 1 to 3 of 3 for “"PHD filter"”.

  1. A COMPARISON OF THE PROBABILITY HYPOTHESIS DENSITY FILTER AND THE MULTIPLE HYPOTHESIS TRACKER FOR TRACKING TARGETS OF MULTIPLE TYPES

    … and track objects of importance. The Bayes filter is the ideal algorithm for tracking a single target and there exists a significant body of work detailing tractable approximations of it with the notable examples of the Kalman and Extended Kalman filter. Multiple target tracking also relies …

    temple Repository record for A COMPARISON OF THE PROBABILITY HYPOTHESIS DENSITY FILTER AND THE MULTIPLE HYPOTHESIS TRACKER FOR TRACKING TARGETS OF MULTIPLE TYPES (opens in a new tab)

  2. ALGORITHM DESIGN AND ANALYSIS IN DISTRIBUTED MULTI-ROBOT MULTI-TARGET TRACKING

    … systems with an estimation method using the PHD filter. This integration aims to optimize the robots' trajectories and search patterns, leveraging the strengths of these metaheuristic-based algorithms to strike a balance between exploration and exploitation. Such optimization is crucial for …

    temple Repository record for ALGORITHM DESIGN AND ANALYSIS IN DISTRIBUTED MULTI-ROBOT MULTI-TARGET TRACKING (opens in a new tab)