18 results with keyword: 'vision based absolute localization for unmanned aerial vehicles'
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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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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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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Keywords: unmanned aerial vehicles; computer vision; animal tracking; face detection; vision-based control; object following; autonomous navigation; autonomous landing;
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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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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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the world have conducted numerous studies on how to improve droplet deposition results and pesticide usage in precision agricultural aviation. Adaptive and variable rate spraying is
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The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift; second, detect the feature points in the region of the above
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Figure reprinted with permission from ‘Vision based Collaborative Path Planning for Micro Aerial Vehicles’ by Sai Vemprala and Srikanth Saripalli, 2018, Proceedings of the 2018
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LOIANNO, Justin Thomas, Kartik Mohta, Shaojie Shen, Koushil Sreenath, and Vijay Kumar, “Vision based navigation, grasping and localization for micro aerial vehicles”,
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In this paper, we apply the discriminative-based algorithm (also called visual tracking-by-detection method) to track aircraft/intruder in the midair using UAVs, which employ
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Unmanned Aircraft Systems (UAS), Unmanned Aerial Vehicles (UAV), Remotely Piloted Vehicles (RPV), Ground Based Sense and Avoid (GBSAA), Airborne Sense and Avoid
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Chapter 5 draws conclusions on Wi-Fi localization captured by Unmanned Aerial Vehicles, processes to extend their flight time, the effective flight pattern to detect probes, and
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The orientations of the image coordinate system with respect to the object coordinate system can be defined equivalently by Euler angles, DCM, or quaternions (Kuipers, 1999).. 17
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The average running time of Fast YOLO on the local machine was 7.31 seconds per image, while the average time on the cloud machine based Faster R-CNN was 1.29 seconds,
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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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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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