activity
20162018
most citedAn informative path planning framework for UAV-based terrain monitoring

9 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2018★ 9 cited

An informative path planning framework for UAV-based terrain monitoring

Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz +4

Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications. To fully leverage their potential, a key challenge is planning mis…

cs.RO2018★ 1 cited

Multi-agent Time-based Decision-making for the Search and Action Problem

Takahiro Miki, Marija Popovic, Abel Gawel +2

Many robotic applications, such as search-and-rescue, require multiple agents to search for and perform actions on targets. However, such missions present several challenges, inclu…

cs.RO2017★ 4 cited

Multiresolution Mapping and Informative Path Planning for UAV-based Terrain Monitoring

Marija Popovic, Teresa Vidal-Calleja, Gregory Hitz +3

Unmanned aerial vehicles (UAVs) can offer timely and cost-effective delivery of high-quality sensing data. How- ever, deciding when and where to take measurements in complex enviro…

cs.RO2016

Online Informative Path Planning for Active Classification Using UAVs

Marija Popovic, Gregory Hitz, Juan Nieto +3

In this paper, we introduce an informative path planning (IPP) framework for active classification using unmanned aerial vehicles (UAVs). Our algorithm uses a combination of global…

cs.RO2016

Online Informative Path Planning for Active Classification on UAVs

Marija Popovic, Gregory Hitz, Juan Nieto +2

We propose an informative path planning (IPP) algorithm for active classification using an unmanned aerial vehicle (UAV), focusing on weed detection in precision agriculture. We mo…