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cs.RO2026
Underwater Dead Reckoning with Deployable Situation-Triggered Covariance Scheduling
Akshay Naik, Ramavarapu S. Sreenivas, Dustin Nottage +1
Underwater dead reckoning estimates vehicle position when vision is unavailable and external positioning cannot be assumed. A single set of filter parameters can work well in many…
cs.RO2025
ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications
Kaixuan Wu, Yuanzhuo Xu, Zejun Zhang +4
Pedestrian inertial localization is key for mobile and IoT services because it provides infrastructure-free positioning. Yet most learning-based methods depend on fixed sliding-win…