[HTML][HTML] Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
[HTML][HTML] Autonomous thermal vision robotic system for victims recognition in search and rescue missions
C Cruz Ulloa, G Prieto Sánchez, A Barrientos… - Sensors, 2021 - mdpi.com
Technological breakthroughs in recent years have led to a revolution in fields such as
Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and …
Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and …
Mixed-reality for quadruped-robotic guidance in SAR tasks
C Cruz Ulloa, J del Cerro… - Journal of Computational …, 2023 - academic.oup.com
In recent years, exploration tasks in disaster environments, victim localization and primary
assistance have been the main focuses of Search and Rescue (SAR) Robotics. Developing …
assistance have been the main focuses of Search and Rescue (SAR) Robotics. Developing …
1st workshop on maritime computer vision (macvi) 2023: Challenge results
Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …
[HTML][HTML] Visual attention prediction improves performance of autonomous drone racing agents
Humans race drones faster than neural networks trained for end-to-end autonomous flight.
This may be related to the ability of human pilots to select task-relevant visual information …
This may be related to the ability of human pilots to select task-relevant visual information …
Machine learning for emergency management: A survey and future outlook
Emergency situations encompassing natural and human-made disasters, as well as their
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …
Towards an autonomous UAV-based system to assist search and rescue operations in man overboard incidents
VA Feraru, RE Andersen… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this
work we aim to design an autonomous system in charge of planning and executing a search …
work we aim to design an autonomous system in charge of planning and executing a search …
[HTML][HTML] A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects
G Bhola, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
Open problems in computer vision for wilderness sar and the search for patricia wu-murad
This paper details the challenges in applying two computer vision systems, an EfficientDET
supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of drone …
supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of drone …
[HTML][HTML] Review of photogrammetric and lidar applications of UAV
Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits
associated with fast, automatic, and contactless spatial data collection with high resolution …
associated with fast, automatic, and contactless spatial data collection with high resolution …