Publications
Augmentation of Sunflower-Weed Segmentation Classification with Unity Generated Imagery Including Near Infrared Sensor Data,
, Volume {False}, Number {False}, p.42-63, (2022)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming,
, ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming,
, ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming,
, ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming,
, IEEE Conference on Control Technology and Applications (CCTA 2020), (2020)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming,
, arXiv preprint arXiv:2009.05750, (2020)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming,
, IEEE Robotics and Automation Letters, Volume 4, Number 2, p.1085–1092, (2019)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {4}, Number {2}, p.1085-1092, (2019)
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {4}, Number {2}, p.1085-1092, (2019)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments,
, Volume {False}, Number {False}, p.1-7, (2019)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments,
, Volume {False}, Number {False}, p.1-7, (2019)
Joint Vision-Based Navigation, Control and Obstacle Avoidance for UAVs in Dynamic Environments,
, Volume {False}, Number {False}, p.1-7, (2019)
Robotics for Precision Agriculture @DIAG,
, Volume {False}, Number {False}, p.False-False, (2019)
Robotics for Precision Agriculture @DIAG,
, Volume {False}, Number {False}, p.False-False, (2019)
Robotics for Precision Agriculture @DIAG,
, Italian Conference on Robotics and Intelligent Machines(I-RIM), (2019)
Robotics for Precision Agriculture @DIAG,
, Volume {False}, Number {False}, p.False-False, (2019)
UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards,
, Computer Analysis of Images and Patterns, p.100–108, (2019)
An Effective Multi-Cue Positioning System for Agricultural Robotics,
, IEEE ROBOTICS AND AUTOMATION LETTERS, Volume {3}, Number {4}, p.3685-3692, (2018)
Non-linear model predictive control with adaptive time-mesh refinement,
, Volume {False}, Number {False}, p.74-80, (2018)
Non-linear model predictive control with adaptive time-mesh refinement,
, Volume {False}, Number {False}, p.74-80, (2018)
Non-linear model predictive control with adaptive time-mesh refinement,
, Volume {False}, Number {False}, p.74-80, (2018)
Automatic model based dataset generation for fast and accurate crop and weeds detection,
, Volume {False}, Number {False}, p.False-False, (2017)
Automatic model based dataset generation for fast and accurate crop and weeds detection,
, Volume {False}, Number {False}, p.False-False, (2017)
Automatic model based dataset generation for fast and accurate crop and weeds detection,
, Volume {False}, Number {False}, p.False-False, (2017)
Automatic model based dataset generation for fast and accurate crop and weeds detection,
, Volume {False}, Number {False}, p.False-False, (2017)
Effective target aware visual navigation for UAVs,
, Volume {False}, Number {False}, p.False-False, (2017)
Effective target aware visual navigation for UAVs,
, Volume {False}, Number {False}, p.False-False, (2017)
Fast and Accurate Crop and Weed Identification with Summarized Train Sets for Precision Agriculture,
, Proc. of 14th International Conference on Intelligent Autonomous Systems (IAS-14), (2016)
Plane extraction for indoor place recognition,
, Volume {9386}, Number {False}, p.530-540, (2015)
Plane Extraction for Indoor Place Recognition,
, Advanced Concepts for Intelligent Vision Systems, Volume 9386, p.530-540, (2015)