Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Francesco Nex"'
Autor:
Farhad Samadzadegan, Farzaneh Dadrass Javan, Farnaz Ashtari Mahini, Mehrnaz Gholamshahi, Francesco Nex
Publikováno v:
Drones, Vol 8, Iss 6, p 244 (2024)
Detecting and recognizing distress types on road pavement is crucial for selecting the most appropriate methods to repair, maintain, prevent further damage, and ensure the smooth functioning of daily activities. However, this task presents challenges
Externí odkaz:
https://doaj.org/article/d71646df390e440f98a39a959f30b0f0
Publikováno v:
Drones, Vol 8, Iss 2, p 33 (2024)
Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap; thus, they are suitable for exploring narrow spaces. However, due to t
Externí odkaz:
https://doaj.org/article/d62acadd55dd4cc59a4253fdbcac55fb
Publikováno v:
GIScience & Remote Sensing, Vol 57, Iss 5, Pp 670-686 (2020)
Remote sensing images have long been recognized as useful for the detection of building damages, mainly due to their wide coverage, revisit capabilities and high spatial resolution. The majority of contributions aimed at identifying debris and rubble
Externí odkaz:
https://doaj.org/article/5a7269867f45434fa7c6c0e673db94be
Publikováno v:
Geo-spatial Information Science, Vol 23, Iss 2, Pp 165-181 (2020)
Geospatial information acquired with Unmanned Aerial Vehicles (UAV) provides valuable decision-making support in many different domains, and technological advances coincide with a demand for ever more sophisticated data products. One consequence is a
Externí odkaz:
https://doaj.org/article/ea4c9204c521441a8cb722f329b90a6a
Publikováno v:
Drones, Vol 6, Iss 11, p 352 (2022)
Unmanned aerial vehicles offer a safe and fast approach to the production of three-dimensional spatial data on the surrounding space. In this article, we present a low-cost SLAM-based drone for creating exploration maps of building interiors. The foc
Externí odkaz:
https://doaj.org/article/4bc2f69cb3fc4cd699bd320b056abf4d
Publikováno v:
Drones, Vol 6, Iss 11, p 314 (2022)
Currently, there is a rapid trend in the production of airborne sensors consisting of multi-view cameras or hybrid sensors, i.e., a LiDAR scanner coupled with one or multiple cameras to enrich the data acquisition in terms of colors, texture, complet
Externí odkaz:
https://doaj.org/article/a755843338c04c3f9f4acdbd158f5187
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4008 (2022)
Consumer-grade Unmanned Aerial Vehicles (UAVs) are poorly suited to monitor complex scenes where multiple analysis tasks need to be carried out in real-time and in parallel to fulfil time-critical requirements. Therefore, we developed an innovative U
Externí odkaz:
https://doaj.org/article/77418dd3eb664a2aabf992679cff828a
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 2977 (2022)
Human detection in images using deep learning has been a popular research topic in recent years and has achieved remarkable performance. Training a human detection network is useful for first responders to search for trapped victims in debris after a
Externí odkaz:
https://doaj.org/article/53810588f0b24d70887782f5a86c01a2
Autor:
Anne Steenbeek, Francesco Nex
Publikováno v:
Drones, Vol 6, Iss 3, p 79 (2022)
Unmanned Aerial Vehicles (UAVs) for 3D indoor mapping applications are often equipped with bulky and expensive sensors, such as LIDAR (Light Detection and Ranging) or depth cameras. The same task could be also performed by inexpensive RGB cameras ins
Externí odkaz:
https://doaj.org/article/0649c56401994dc68d97ef6874d16902
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 543-557 (2018)
This research presents a processing workflow to automatically find damaged building areas in an urban context. The input data requirements are high-resolution multi-view images, acquired from airborne platform. The elevations are derived from a dense
Externí odkaz:
https://doaj.org/article/4fb95fa9c833432597b036b6d03928dc