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)

A Python package for tackling diverse environmental prediction tasks with NPs.

Sensor Coverage Optimisation and Placement Engine detection model reference

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

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

Simultaneous sensor and actuator placement for contaminant detection

Point process sensing library (sensepy)

TOY SIMULATION / VERY BASIC EXPERIMENT exploring prediction- and uncertainty-aware stochastic sensor placement using synthetic trajectories, intensity maps, and greedy optimization in MATLAB.

Code for joint online parameter estimation and optimal sensor placement.

MPME sensor/frequency selection for subsurface radar imaging (IEEE TGRS 2023) - MATLAB

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

Field imaging in arbitrary scattering environments with optimal sensor placement (IEEE TCI 2021) - MATLAB