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2020 – today
- 2021
[j5]Alberto Pretto
, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021)- [j4]Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico Daniele Bloisi, Daniele Nardi:
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming. Robotics Auton. Syst. 146: 103861 (2021) - [c12]Renzo Fabrizio Carpio, Jacopo Maiolini, Ciro Potena, Emanuele Garone, Giovanni Ulivi, Andrea Gasparri:
MP-STSP: A Multi-Platform Steiner Traveling Salesman Problem Formulation for Precision Agriculture in Orchards. ICRA 2021: 2345-2351 - 2020
- [j3]Renzo Fabrizio Carpio, Ciro Potena, Jacopo Maiolini, Giovanni Ulivi, Nicolás Bono Rosselló, Emanuele Garone, Andrea Gasparri:
A Navigation Architecture for Ackermann Vehicles in Precision Farming. IEEE Robotics Autom. Lett. 5(2): 1103-1110 (2020) - [c11]Mulham Fawakherji, Ciro Potena, Ibis Prevedello, Alberto Pretto, Domenico Daniele Bloisi, Daniele Nardi:
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming. CCTA 2020: 279-284 - [c10]Ciro Potena, Renzo Fabrizio Carpio, Nico Pietroni, Jacopo Maiolini, Giovanni Ulivi, Emanuele Garone, Andrea Gasparri:
Suckers Emission Detection and Volume Estimation for the Precision Farming of Hazelnut Orchards. CCTA 2020: 285-290 - [c9]Carlos Carbone, Ciro Potena, Daniele Nardi:
Augmentation of Sunflower-Weed Segmentation Classification with Unity Generated Imagery Including Near Infrared Sensor Data. SIMULTECH (Selected Papers) 2020: 42-63 - [c8]Carlos Carbone, Ciro Potena, Daniele Nardi:
Simulation of near Infrared Sensor in Unity for Plant-weed Segmentation Classification. SIMULTECH 2020: 81-90 - [i8]Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico Daniele Bloisi, Daniele Nardi:
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming. CoRR abs/2009.05750 (2020)
2010 – 2019
- 2019
- [j2]Ciro Potena, Raghav Khanna, Juan I. Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto:
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming. IEEE Robotics Autom. Lett. 4(2): 1085-1092 (2019) - [c7]Mulham Fawakherji, Ciro Potena, Domenico Daniele Bloisi, Marco Imperoli, Alberto Pretto, Daniele Nardi:
UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards. CAIP Workshops 2019: 100-108 - [c6]Ciro Potena, Daniele Nardi, Alberto Pretto:
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments. ECMR 2019: 1-7 - [i7]Ciro Potena, Daniele Nardi, Alberto Pretto:
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments. CoRR abs/1905.01187 (2019) - [i6]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. CoRR abs/1911.03098 (2019) - 2018
- [j1]Marco Imperoli, Ciro Potena, Daniele Nardi, Giorgio Grisetti, Alberto Pretto:
An Effective Multi-Cue Positioning System for Agricultural Robotics. IEEE Robotics Autom. Lett. 3(4): 3685-3692 (2018) - [c5]Ciro Potena, Bartolomeo Della Corte, Daniele Nardi, Giorgio Grisetti, Alberto Pretto:
Non-linear model predictive control with adaptive time-mesh refinement. SIMPAR 2018: 74-80 - [i5]Marco Imperoli, Ciro Potena, Daniele Nardi, Giorgio Grisetti, Alberto Pretto:
An Effective Multi-Cue Positioning System for Agricultural Robotics. CoRR abs/1803.00954 (2018) - [i4]Ciro Potena, Bartolomeo Della Corte, Daniele Nardi, Giorgio Grisetti, Alberto Pretto:
Non-Linear Model Predictive Control with Adaptive Time-Mesh Refinement. CoRR abs/1803.10512 (2018) - [i3]Ciro Potena, Raghav Khanna, Juan I. Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto:
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming. CoRR abs/1810.00457 (2018) - 2017
- [c4]Ciro Potena, Daniele Nardi, Alberto Pretto:
Effective target aware visual navigation for UAVs. ECMR 2017: 1-7 - [c3]Maurilio Di Cicco, Ciro Potena, Giorgio Grisetti, Alberto Pretto:
Automatic model based dataset generation for fast and accurate crop and weeds detection. IROS 2017: 5188-5195 - [i2]Ciro Potena, Daniele Nardi, Alberto Pretto:
Target Aware Optimal Visual Navigation for UAVs. CoRR abs/1705.10960 (2017) - 2016
- [c2]Ciro Potena, Daniele Nardi, Alberto Pretto:
Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture. IAS 2016: 105-121 - [i1]Maurilio Di Cicco, Ciro Potena, Giorgio Grisetti, Alberto Pretto:
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection. CoRR abs/1612.03019 (2016) - 2015
- [c1]Ciro Potena, Alberto Pretto, Domenico Daniele Bloisi, Daniele Nardi:
Plane Extraction for Indoor Place Recognition. ACIVS 2015: 530-540
Coauthor Index
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