sensor-placement

PySensors is a Python package for sparse sensor placement

Software Suite for Sensor Placement and Informative Path Planning

Track 3: Sensor Placement

Simple Wireless-Sensor-Network Optimization using Genetic-Algorithm.

Spatial Interpolation in Python

A Matlab toolkit for sensor placement in water distribution systems

Comparing EnKF and WLS state estimators in power distribution networks equipped with smart meters and phasor measurement units

Informative Path Planning with Guaranteed Estimation Uncertainty (RSS 2026)

Sensor Coverage Optimisation and Placement Engine detection model reference

Belief-state deep reinforcement learning for information-efficient autonomous beach microplastic sampling

Simultaneous sensor and actuator placement for contaminant detection

Point process sensing library (sensepy)

Code for joint online parameter estimation and optimal sensor placement.

Reproducibility package for the paper "Machine Learning for Bus-Level Fault Location in Active Distribution Networks", including OpenDSS simulation, physics-informed PMU features, algorithmic sensor placement, and a reproducible 5-fold benchmark on the IEEE 123-bus feeder.

MWE (Minimal Working Example) of 2D Bayesian Optimisation over Antarctica

3D LiDAR deployment optimization research code; source-available, no academic publication or commercial use without permission

Adjustable pelvis IMU mounting and validated distributed-electronics packaging for repeatable sensor placement on a hip-knee exoskeleton.