306 citations · 604 across the 8 of their papers we have counts for
8 papers
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments
Lukas Schmid, Michael Pantic, Raghav Khanna +3
The ability to plan informative paths online is essential to robot autonomy. In particular, sampling-based approaches are often used as they are capable of using arbitrary informat…
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
Ciro Potena, Raghav Khanna, Juan Nieto +3
The combination of aerial survey capabilities of Unmanned Aerial Vehicles with targeted intervention abilities of agricultural Unmanned Ground Vehicles can significantly improve th…
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
Inkyu Sa, Marija Popovic, Raghav Khanna +7
We present a novel weed segmentation and mapping framework that processes multispectral images obtained from an unmanned aerial vehicle (UAV) using a deep neural network (DNN). Mos…
Autonomous Electric Race Car Design
Niklas Funk, Nikhilesh Alatur, Robin Deuber +12
Autonomous driving and electric vehicles are nowadays very active research and development areas. In this paper we present the conversion of a standard Kyburz eRod into an autonomo…
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…
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…
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…