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SIFT features can outperform some of the latest deep-learning image matching methods in UAV visual odometry, challenging the assumption that newer always means better.
Monocular SLAM systems falter in high-altitude aerial navigation, with no single method consistently preserving trajectory shape or achieving reliable vertical positioning.
ISOPoT achieves superior underwater navigation by effectively transforming noisy sonar data into reliable point tracks, outpacing existing methods.
