Luis Felipe Gonzalez
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
African Lovegrass Segmentation with Artificial Intelligence Using UAS-Based Multispectral and Hyperspectral Imagery.
Remote. Sens., July, 2024
Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments.
Remote. Sens., May, 2024
Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI.
Sensors, February, 2024
Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments.
Remote. Sens., February, 2024
2023
A Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine Learning for Moss and Lichen Classification.
Remote. Sens., December, 2023
Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments.
Remote. Sens., August, 2023
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning.
Remote. Sens., March, 2023
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance.
CoRR, 2023
2022
Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models.
Remote. Sens., December, 2022
NanoMap: A GPU-Accelerated OpenVDB-Based Mapping and Simulation Package for Robotic Agents.
Remote. Sens., 2022
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery.
Remote. Sens., 2022
Proceedings of the Image and Video Technology - 10th Pacific-Rim Symposium, 2022
2021
Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty.
Remote. Sens., 2021
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments.
CoRR, 2021
2020
A Framework for Multi-Agent UAV Exploration and Target-Finding in GPS-Denied and Partially Observable Environments.
Sensors, 2020
A Method for Evaluating and Selecting Suitable Hardware for Deployment of Embedded System on UAVs.
Sensors, 2020
A Framework for Multiple Ground Target Finding and Inspection Using a Multirotor UAS.
Sensors, 2020
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments.
Remote. Sens., 2020
2018
A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data.
Sensors, 2018
Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence.
Sensors, 2018
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands.
Sensors, 2018
UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.
Sensors, 2018
A Novel Approach for Invasive Weeds and Vegetation Surveys Using UAS and Artificial Intelligence.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
2017
Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery.
Sensors, 2017
Vision-Based Target Finding and Inspection of a Ground Target Using a Multirotor UAV System.
Sensors, 2017
A Methodology to Monitor Airborne PM<sub>10</sub> Dust Particles Using a Small Unmanned Aerial Vehicle.
Sensors, 2017
2016
Sensors, 2016
An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives.
Sensors, 2016
Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments.
Sensors, 2016
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Sensors, 2016
Correction: Alvarado, M., et al. Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites. <i>Sensors</i> 2015, <i>15</i>, 19667-19687.
Sensors, 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
2015
Development and Integration of a Solar Powered Unmanned Aerial Vehicle and a Wireless Sensor Network to Monitor Greenhouse Gases.
Sensors, 2015
A Dynamic Navigation Model for Unmanned Aircraft Systems and an Application to Autonomous Front-On Environmental Sensing and Photography Using Low-Cost Sensor Systems.
Sensors, 2015
Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites.
Sensors, 2015
J. Field Robotics, 2015
Increasing Autonomy Transparency through capability communication in multiple heterogeneous UAV management.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
2014
J. Intell. Robotic Syst., 2014
Proceedings of the 33rd International Conference of the Chilean Computer Science Society, 2014
2013
FPGA Implementation of an Evolutionary Algorithm for Autonomous Unmanned Aerial Vehicle On-Board Path Planning.
IEEE Trans. Evol. Comput., 2013
Wind-energy based path planning for Unmanned Aerial Vehicles using Markov Decision Processes.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the Field and Service Robotics, 2013
Autonomous forced landing system for light general aviation aircraft in unknown environments.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013
2012
Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering.
IEEE Trans. Evol. Comput., 2011
Development of an autonomous unmanned aerial system to collect time-stamped samples from the atmosphere and localize potential pathogen sources.
J. Field Robotics, 2011
2009
Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual nash strategies in a CFD design environment.
J. Comput. Appl. Math., 2009