26 citations · 27 across the 3 of their papers we have counts for
4 papers
Data-Driven or Model-Constrained? Comparing Airflow Estimation Methods under Sparse Sensing
Dominik Aigner, Thomas Wiedemann, Javier Monroy +1
Airflow-driven advection is the primary mechanism for gas and aerosol dispersion in real-world scenarios, making accurate airflow estimation essential for ventilation monitoring, g…
PSGSL: A Probabilistic Framework Integrating Semantic Scene Understanding and Gas Sensing for Gas Source Localization
Pepe Ojeda, Javier Monroy, Javier Gonzalez-Jimenez
Semantic scene understanding allows a robotic agent to reason about problems in complex ways, using information from multiple and varied sensors to make deductions about a particul…
Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification
Jose-Luis Matez-Bandera, Pepe Ojeda, Javier Monroy +2
Robots in human-centered environments require accurate scene understanding to perform high-level tasks effectively. This understanding can be achieved through instance-aware semant…
Robotic Gas Source Localization with Probabilistic Mapping and Online Dispersion Simulation
Pepe Ojeda, Javier Monroy, Javier Gonzalez-Jimenez
Gas source localization (GSL) with an autonomous robot is a problem with many prospective applications, from finding pipe leaks to emergency-response scenarios. In this work, we pr…