18 results with keyword: 'vision navigation using landmark recognition unmanned aerial vehicles'
The aim of this project is to investigate the current state of visual positioning systems for unmanned aerial vehicles (UAVs) and to develop a new approach to vision-based
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Generally, this dissertation focused on three main areas based on computer vi- sion algorithms and approaches which are fundamental for any navigation systems for any autonomous UAV
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Keywords: unmanned aerial vehicles; computer vision; animal tracking; face detection; vision-based control; object following; autonomous navigation; autonomous landing;
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Dubins Path, Waypoint Navigation, Unmanned Aerial Vehicles, Autonomy, Shortest Path, Fuel,
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This paper proposed the use of vision based Fuzzy control approaches for autonomous navigation tasks with Unmanned Aerial Vehicles (UAVs).. It is shown the advantages of using
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This thesis presented an Aircraft Dynamic Navigation (ADN) approach which incorporates a complex and nonlinear Aircraft Dynamic Model (ADM) directly into the navigation equations of
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IJEDR1803064 International Journal of Engineering Development and Research (www.ijedr.org) 364 RBF networks possess only one hidden layer that simplifies the design of the network..
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The position measurement comes from a 2-state point-mass filter which fuses the visual odometry data with absolute position information coming from the image registration module
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There is a growing interest in developing Unmanned Aerial Vehicles (UAV’s) with on-board decision making using way-point guidance and computer vision techniques
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The image processing module provides the aircraft attitude, body rates, pitch and roll differences between current view and key frame, and deviation from the runway centreline..
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Clas- sical vision-based approaches to absolute localization rely either on a pose estimation scheme that requires a 2D-3D registration process, or on the integration of the
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Table 4.9: Process noise covariance matrix Q and measurement noise covariance matrix R values for Flight Testing data INS+VDM only case. Process noise covariance
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The search was performed in ScienceDirect, PubMed, and EMBASE databases, using a combination of search terms related to drones, Unmanned Aerial Vehicles (UAV), Unmanned Aerial
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The experimental results obtained through simulations as well as with real data suggest the following and relevant conclusions: (i) the integration into the system of very noisy
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The performance of the online GraphSLAM can be assessed in two aspects: whether the optimized states can be used for the real-time autonomous control and whether the
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Accurately describes a process for identifying the student habits or actions most influencing progress and gaps between student achievement and big goals Explains in a compelling
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to write insurance which provides the security required by Section 3101 or Section 3103 in the State of Michigan, provided that (i) such withdrawal shall be effective as of the
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