In this lecture, Miguel Ángel Trujillo, the EU SIMAR project coordinator, will present a few of the last European projects on aerial robotic inspection. Also, the talk will focus on how technology has evolved since the first one and the current state of the art. Furthermore, the SIMAR project will be presented, showing the consortium… Continue reading Aerial Robotics for Industrial Inspection and the SIMAR project contribution
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Simulation of forest fires and floods
By using Unreal Engine for the creation of virtual environments we are able to simulate fire and flood scenarios with high accuracy and by using virtual UAVs we collect big virtual datasets. Mixing the virtual data with real-world data and training state-of-the-art machine learning models we hope to be able to detect real-world fires and… Continue reading Simulation of forest fires and floods
Flash flood modeling and in urban areas using High Resolution hydrodynamic model and machine learning models
Modeling flash floods in urban areas with complex topography is always challenging. Considering fine-scale hydrodynamic 2D shallow water model to perform simulations requires a lot of manual or semi-automatic data processing before being able to run simulations. This involves the transformation of high-resolution Digital Surface Model (Lidar) into a Digital Elevation Model that conserves the… Continue reading Flash flood modeling and in urban areas using High Resolution hydrodynamic model and machine learning models
Multimodal Analysis of Geo-social Media Data for Improved Disaster Management: From Science to Digital Practice
The challenges that emergency services face when dealing with disasters are becoming increasingly complex. Thus, methods of analysing new digital information for situation assessment and operational planning is of crucial importance. This talk presents an approach for multi-modal analysis of digital data such as geo-social media posts using artificial intelligence (AI), helping to ensure the… Continue reading Multimodal Analysis of Geo-social Media Data for Improved Disaster Management: From Science to Digital Practice
Data Storytelling and Big Data value chain in Natural Disaster Management
This lecture explores the concepts of Data Storytelling and the Big Data value chain in the context of Natural Disaster Management. It delves into the significance of effectively communicating data to inform decision-making and seeks to uncover the potential of utilizing big data to improve disaster response and mitigation efforts. The lecture discusses the challenges… Continue reading Data Storytelling and Big Data value chain in Natural Disaster Management
Deep Learning for Post-Earthquake Safety Evaluation of Masonry Buildings
Natural disasters present multifaceted challenges that necessitate swift and accurate responses. In the realm of post-earthquake safety assessments, the rapid and precise evaluation of damages is pivotal to ensure the optimal allocation of resources and facilitate effective emergency management. Many earthquake-prone nations employ standardized forms, such as the Italian AeDES, New Zealand Earthquake Rapid Assessment,… Continue reading Deep Learning for Post-Earthquake Safety Evaluation of Masonry Buildings