Ultra Low-Power, Lightweight, Probabilistic RSS-Based Path Reconstruction: A System for Landscape-Scale Bee Tracking

arXiv:2608.27152 · cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/google/jax

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 31× in this paper · explained in 1 episode
• Angle of Arrival — 5× in this paper
• Received Signal Strength — 5× in this paper
• Fingerprinting — 4× in this paper · explained in 2 episodes
• Internet of Things — 4× in this paper
• Anisotropy — 3× in this paper · explained in 3 episodes
• Global Navigation Satellite Systems — 3× in this paper
• Active Learning — 1× in this paper · explained in 6 episodes
• Angular Error — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Bluetooth Low-Energy — 1× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Active Sensing for Search and Tracking: A Review
• Orientation Estimation using Wireless Device Radiation Patterns
• Gaussian Process Regression for Binned Data
• Expectation Propagation for approximate Bayesian inference

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