Visual localization is widely used as a low-cost solution for autonomous driving, robotics, and mobile navigation. However, monocular systems remain vulnerable to illumination changes, weak texture, occlusion, motion blur and long-term drift. Existing map-based methods can reduce that drift by aligning camera observations with a prebuilt global map, yet many still struggle with redundant computation, weak cross-modal matching between camera imag…
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