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InfoResearchPeer-reviewed
Three-Dimensional Multiobject Tracking Based on Voxel Masking Encoder and Deep Hashing Paradigm
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Summary
The authors propose a 3-D multiobject tracking framework for autonomous driving that combines a voxel masking encoder (VME) with a deep hashing paradigm (DHP). The hashing step computes Hamming distances between image and category hash codes to avoid cross-category association errors, and a distance optimization matching (DOM) method builds the cost matrix from geometric dimensions and spatial distances. Experiments on the KITTI dataset report tracking accuracy that surpasses other advanced methods.