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cs.CV2026
Accuracy potential of visual localization exploiting high-end street-level imagery
Jonas Meyer, Stephan Nebiker, Pascal Theiler +1
Accurate and reliable pose information with respect to a reference frame is increasingly demanded across applications such as autonomous navigation, surveying, robotics, and augmen…
cs.CV2026
BEV-SLD: Self-Supervised Scene Landmark Detection for Global Localization with LiDAR Bird's-Eye View Images
David Skuddis, Vincent Ress, Wei Zhang +2
We present BEV-SLD, a LiDAR global localization method building on the Scene Landmark Detection (SLD) concept. Unlike scene-agnostic pipelines, our self-supervised approach leverag…