17 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.RO2016★ 17 cited
Sampling-based Motion Planning for Active Multirotor System Identification
Rik Bähnemann, Michael Burri, Enric Galceran +2
This paper reports on an algorithm for planning trajectories that allow a multirotor micro aerial vehicle (MAV) to quickly identify a set of unknown parameters. In many problems li…
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…