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Open access Aug 2026

A-I-LITO: adaptively enhanced thermal/LiDAR/IMU tightly coupled positioning method with field of view perception

In challenging urban scenarios with low illumination and changing fields of view, the accuracy and stability significantly degrade for the existing multi-sensor fusion positioning methods. To address this degradation, a multi-modal tightly coupled positioning framework based on the error-state iterated Kalman filter is...

Zhi-Han Zhao, Lin-Yang Li, Dong-Qing Zhao et al. · 0 citations
Open access Aug 2026

BSCNet: Boundary- and Scale-Consistent Mean Teacher for Semi-Supervised Building Change Detection in High-Resolution Remote Sensing Images

BSCNet is presented, a semi-supervised framework for binary building change detection that jointly models boundary-sensitive differences and scene-dependent scale preferences and progressive ablations confirm complementary gains from the boundary, scale, and consistency components.

Su-Jin Cai, Taizhi Lv, Xing Li et al. · 0 citations

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