AI RESEARCH
PiLoT: Neural Pixel-to-3D Registration for UAV-based Ego and Target Geo-localization
arXiv CS.CV
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ArXi:2603.20778v1 Announce Type: new We present PiLoT, a unified framework that tackles UAV-based ego and target geo-localization. Conventional approaches rely on decoupled pipelines that fuse GNSS and Visual-Inertial Odometry (VIO) for ego-pose estimation, and active sensors like laser rangefinders for target localization. However, these methods are susceptible to failure in GNSS-denied environments and incur substantial hardware costs and complexity. PiLoT breaks this paradigm by directly registering live video stream against a geo-referenced 3D map.