Classical and deep learning based visual servoing systems: a survey on state of the art
Computer vision, together with bayesian estimation algorithms, sensors, and actuators, are
used in robotics to solve a variety of critical tasks such as localization, obstacle avoidance …
used in robotics to solve a variety of critical tasks such as localization, obstacle avoidance …
Continual learning of fault prediction for turbofan engines using deep learning with elastic weight consolidation
Fault prediction based upon deep learning algorithms has great potential in industrial
automation: By automatically adapting to different usage contexts, it would greatly expand …
automation: By automatically adapting to different usage contexts, it would greatly expand …
Computer vision based path following for autonomous unmanned aerial systems in unburied pipeline onshore inspection
Unmanned Aerial Systems (UAS) are becoming more attractive in diverse applications due
to their efficiency in performing tasks with a reduced time execution, covering a larger area …
to their efficiency in performing tasks with a reduced time execution, covering a larger area …
Application of Artificial Intelligence in Aerospace Engineering and Its Future Directions: A Systematic Quantitative Literature Review
This research aims to comprehensively analyze the most essential uses of artificial
intelligence in Aerospace Engineering. We obtained papers initially published in academic …
intelligence in Aerospace Engineering. We obtained papers initially published in academic …
Hybrid methodology based on computational vision and sensor fusion for assisting autonomous UAV on offshore messenger cable transfer operation
The recent development of new offshore projects in pre-salt deepwater fields has placed
offshore loading operations as the main production outflow alternative, increasing the …
offshore loading operations as the main production outflow alternative, increasing the …
Ekf-based vision-assisted target tracking and approaching for autonomous uav in offshore mooring tasks
GS Ramos, DB Haddad, AL Barros… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In the offshore oil and gas industry, the most productive fields are located in increasingly
distant waters, so the oil pipelines as a solution to transport the production become less …
distant waters, so the oil pipelines as a solution to transport the production become less …
A deep neural network sensor for visual servoing in 3d spaces
This paper describes a novel stereo vision sensor based on deep neural networks, that can
be used to produce a feedback signal for visual servoing in unmanned aerial vehicles such …
be used to produce a feedback signal for visual servoing in unmanned aerial vehicles such …
An integrated solution for an autonomous drone racing in indoor environments
The use of drones is becoming more present in modern daily life. One of the most
challenging tasks associated with these vehicles is the development of perception and …
challenging tasks associated with these vehicles is the development of perception and …
Lidar assisted camera inspection of wind turbines: experimental study
In the fight against global climate change, the number of wind turbines installed globally is
increasing. These complex structures need continuous inspection to asses their state and to …
increasing. These complex structures need continuous inspection to asses their state and to …
Technical and economic feasibility study for implementing a novel mooring-assisting methodology in offloading operations using autonomous unmanned aerial …
GS Ramos, MF Pinto, ESS de Souza… - SPE Production & …, 2022 - onepetro.org
As oil and gas exploration goes toward deeper fields in the Brazilian industry scenario,
offloading operations emerge as the most viable option to drain production. However, these …
offloading operations emerge as the most viable option to drain production. However, these …