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Even with only 1-2 LiDAR returns per scan, UAVs can be reliably detected and tracked using an unsupervised pipeline that combines range-adaptive DBSCAN and joint probabilistic data association.
By adaptively weighting neighbor information based on uncertainty, distributed multi-object tracking can achieve significantly better performance in mobile robot networks with heterogeneous localization quality.
