
This work proposes a semi-supervised novelty detection methodology to precisely characterize and predict Ultra-Wideband (UWB) error within a specific environment, enabling reliable robot localization in dynamic settings.


coremsg

leveraging-semi-supervised-novelty-detection-to-enhance-ultra-wideband-localization-reliability-in-dynamic-environments


Leveraging Semi-Supervised Novelty Detection to Enhance Ultra-Wideband Localization Reliability in Dynamic Environments


title_rewrite


A novel resource-aware approach for collaborative global localization that reduces the amount of information exchanged and the computational cost, while improving localization performance.


resource-aware-collaborative-monte-carlo-localization-with-efficient-distribution-compression


Resource-Aware Collaborative Monte Carlo Localization with Efficient Distribution Compression



A novel 3D relative pose estimation system that uses only locally collected UWB range measurements, a priori state constraints, and event-based detections of constraint violations, without the need for continuously transmitted measurements.


multi-agent-ultra-wideband-relative-pose-estimation-with-constrained-communications-in-3d-environments


Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments
