Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles
نویسندگان
چکیده
منابع مشابه
Appearance-based Active, Monocular, Dense Reconstruction for Micro Aerial Vehicles
In this paper, we investigate the following problem: given the image of a scene, what is the trajectory that a robotmounted camera should follow to allow optimal dense depth estimation? The solution we propose is based on maximizing the information gain over a set of candidate trajectories. In order to estimate the information that we expect from a camera pose, we introduce a novel formulation ...
متن کاملMonitoring of CCS Areas using Micro Unmanned Aerial Vehicles (MUAVs)
Carbon capture & storage (CCS) is one of the most promising technologies for greenhouse gas (GHG) management. However, an unsolved issue of CCS is the development of appropriate long-term monitoring systems for leak detection of the stored CO2. To complement already existing monitoring infrastructure for CO2 storage areas, and to increase the granularity of gas concentration measurements, a qui...
متن کاملEvolving Control for Micro Aerial Vehicles (MAVs)
This paper further explores the use of a genetic algorithm for the purposes of evolving the control systems for distributed micro aerial vehicles (MAVs). The control systems are essentially evolved rule sets which take into account target surveillance area coverage and built in sensors in the MAV. As in previous work where the overall task is distributed, the same rule set is contained in each ...
متن کاملFuzzy Visual Servoing for Micro Aerial Vehicles
We present a visual servoing approach for controlling a micro aerial vehicle which is based on monocular camera input and a fuzzy logic controller. Visual pose estimates are obtained using a state-of-theart visual SLAM approach combined with marker-based metrical initialization. In comparison to related work, we demonstrate that our system tolerates quickly changing velocity measurements which ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Robotics and Automation Letters
سال: 2016
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2015.2511444