AI RESEARCH
Image-Conditioned Adaptive Parameter Tuning for Visual Odometry Frontends
arXiv CS.CV
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ArXi:2603.21785v1 Announce Type: new Resource-constrained autonomous robots rely on sparse direct and semi-direct visual-(inertial)-odometry (VO) pipelines, as they provide a favorable tradeoff between accuracy, robustness, and computational cost. However, the performance of most systems depends critically on hand-tuned hyperparameters governing feature detection, tracking, and outlier rejection.