Lightweight, Uncertainty-Aware Conformalized Visual Odometry
Alex C. Stutts,Danilo Erricolo,Theja Tulabandhula,Amit Ranjan Trivedi,Alex C. Stutts,Danilo Erricolo,Theja Tulabandhula,Amit Ranjan Trivedi
Data-driven visual odometry (VO) is a critical subroutine for autonomous edge robotics, and recent progress in the field has produced highly accurate point predictions in complex environments. However, emerging autonomous edge robotics devices like insect-scale drones and surgical robots lack a computationally efficient framework to estimate VO's predictive uncertainties. Meanwhile, as edge roboti...