In this work we aim at assessing a specific activity, namely if the drone is moving upstream or downstream in a river. Unsupervised learning methods for ...

We propose an automatic system aimed at discovering relevant activities for aquatic drones employed in water monitoring applications. The methodology ...

Nov 16, 2019 · Here we follow this line of research and aim at developing an activity recognition system for unmanned vehicles involved in water monitoring.

This research proposes an overview of machine learning methods for interpreting sensor data captured by drones operated manually and autonomously and ...

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods · Subspace clustering for situation assessment in aquatic drones.

Matteo Denitto Alessandro Farinelli Jason Blum Domenico Daniele Bloisi. Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods.

We propose an automatic system aimed at discovering relevant activities for aquatic drones employed in water monitoring applications. The methodology exploits ...

In this work, we present a method for waterline and obstacle detection designed for low-cost ASVs employed in environmental monitoring.

Oct 17, 2024 · This study explores the potential of ML-based drone classification, utilizing technologies like radar, visual, acoustic, and radio- frequency ...

In this work we propose a framework based on the integration of recent time-series clustering/segmentation methods and cluster validity indices, for detecting, ...