This research introduces a novel real-time map matching algorithm that improves navigation accuracy by integrating landmark information and uncertainty modeling. The approach evaluates vehicle trajectories against road networks while accounting for sensor noise and positional ambiguity. By leveraging landmarks and confidence estimation, the algorithm delivers more reliable location tracking in complex urban environments. The proposed method enhances robustness, reduces navigation errors, and supports intelligent transportation systems requiring precise and dependable real-time positioning.
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2020 ICCSEA Conference, IEEE.
https://doi.org/10.1109/ICCSEA49143.2020.9132926