activity
20162026
most citedBuilding an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

139 citations · 305 across the 20 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.RO2017★ 7 cited

The ETH-MAV Team in the MBZ International Robotics Challenge

Rik Bähnemann, Michael Pantic, Marija Popović +7

This article describes the hardware and software systems of the Micro Aerial Vehicle (MAV) platforms used by the ETH Zurich team in the 2017 Mohamed Bin Zayed International Robotic…

cs.CV2017★ 1 cited

weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming

Inkyu Sa, Zetao Chen, Marija Popovic +4

Selective weed treatment is a critical step in autonomous crop management as related to crop health and yield. However, a key challenge is reliable, and accurate weed detection to…

cs.RO2017★ 37 cited

Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone

Inkyu Sa, Mina Kamel, Michael Burri +5

This paper describes an approach to building a cost-effective and research grade visual-inertial odometry aided vertical taking-off and landing (VTOL) platform. We utilize an off-t…

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.RO2017★ 9 cited

Dynamic System Identification, and Control for a cost effective open-source VTOL MAV

Inkyu Sa, Mina Kamel, Raghav Khanna +3

This paper describes dynamic system identification, and full control of a cost-effective vertical take-off and landing (VTOL) multi-rotor micro-aerial vehicle (MAV) --- DJI Matrice…