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Reducing object processing latency by 70% enables real-time, high-fidelity SLAM for multiple object classes in challenging environments.
ADM-Fusion achieves robust ego-motion estimation by dynamically adapting sensor weights in real-time, outperforming traditional fixed-weight methods under degraded conditions.
