Searched for: subject%3A%22Optical%255C+flow%22
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Verveld, M.J. (author)
This work addresses the problem of indoor state estimation for autonomous flying vehicles with an optic flow approach. The paper discusses a sensor configuration using six optic flow sensors of the computer mouse type augmented by a three-axis accelerometer to estimate velocity, rotation, attitude and viewing distances. It is shown that the...
master thesis 2009
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Hurkmans, T.M.F. (author)
Optical flow algorithms present a way for computers to estimate motion from the real world. Applications like cloud motion, surveillance and robot eyesight are examples of this. The focus of existing research is mainly on either fast, but poor solutions, or slow but good solutions. In this thesis an approach to improve performance through...
master thesis 2009
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Schaafsma, P.J. (author)
Orbital fat is the soft tissue inside the eye socket, or orbit, that surrounds the eye muscles, eyeball, optic nerve and blood vessels. It plays an important role in the mechanical operation of the eye during eyeball rotation. Knowledge of how this orbital fat behaves is limited. It is important for surgeons to improve this knowledge to make...
master thesis 2011
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Ren, X. (author)
With the development of the technology, today's digital systems' growing design complexity has outpaced the traditional RTL design flow. The manual steps of micro-architecture definition, hand written RTL, simulation, debug and area/speed optimization through RTL synthesis are becoming more and more time consuming that gives the call of higher...
master thesis 2011
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Selvan, A. (author)
Bio-inspired flying micro drones, formally known as Flapping Wing Micro Aerial Vehicles (FWMAV) are a booming class of robots in today's world. Navigation and flight control of these drones is an interesting area of research that has become popular among roboticists and engineers due to its challenges. A bio-inspired optic flow based flight...
master thesis 2014
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McGuire, K.N. (author)
Summary: The need for vision guided mobile robotics is becoming more apparent, however it is proven to be troublesome to stabilize its vision. For two legged robots, it is, during motion, even more difficult than for wheeled robots to be able to perceive the world around it. Finding a stabilization method which is able to reduce the motion blur...
master thesis 2014
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Tata Ramalingasetty, S. (author)
Robotics has evolved since its inception and has found major applications in industries. With recent de- mand for medical and social robots, they are required to be flexible, compliant and adaptable. Today’s robots are far from performing smooth, fine co-ordinated movements that are required to be used in the fields mentioned above. Primates...
master thesis 2016
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Paredes Valles, Fede (author)
The combination of Spiking Neural Networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This thesis presents, to the best of the author’s knowledge, the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in a biologically...
master thesis 2018
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van Vrede, Daan (author)
Both quadcopter Micro Aerial Vehicles (MAVs) and Flapping Wing MAVs (FWMAVs) are constrained in Size, Weight and Processing power (SWaP) in order to achieve flight tasks that include attitude and velocity stabilisation, as well as obstacle avoidance. <br/>Conventional sensory and control approaches, such as those relying on inertial, visual and...
master thesis 2018
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Blom, Jari (author)
Vision based control allows Micro Air Vehicles (MAV) to move autonomously in GPS-denied environments, for example in indoor applications. An open issue in this field is landing on an unknown platform. The difficulty in visual control w.r.t. such an unknown platform, is a lack of scale. Without knowledge of the scale of offsets and object sizes ...
master thesis 2019
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Chatterjee, Abhishek (author)
The exceptional flight capabilities of insects have long amazed and inspired researchers and roboticists striving to make Micro Aerial Vehicles (MAVs) smaller and more agile. It is well known that optical flow plays a prominent role in insect flight control and navigation, and hence it is being increasingly investigated for applications in...
master thesis 2019
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Suresh Subramonian, Jishnu (author)
The most simplistic acts in nature can be incredibly complex to replicate. Among which, insects in general, are profound micro-machines with evolution as the backbone for their most optimized features. This study focuses on developing an efficient sensing and processing strategy for autonomous flight maneuvers in Atalanta, a bio-inspired robotic...
master thesis 2020
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Hagenaars, Jesse (author)
Flying insects are capable of autonomous vision-based navigation in cluttered environments, reliably avoiding objects through fast and agile manoeuvres. Meanwhile, insect-scale micro air vehicles still lag far behind their biological counterparts, displaying inferior performance at a fraction of the energy efficiency. In light of this, it is in...
master thesis 2020
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de Jong, David (author)
End-to-end trained Convolutional Neural Networks have led to a breakthrough in optical flow estimation. The most recent advances focus on improving the optical flow estimation by improving the architecture and setting a new benchmark on the publicly available MPI-Sintel dataset. Instead, in this article, we investigate how deep neural networks...
master thesis 2020
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Tomy, Abhishek (author)
A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified by looking at the cues originating from vulnerable road users or their surroundings (hand signals, head orientation, posture, traffic signals, distance to curb, etc.). Taking all these cues...
master thesis 2020
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Dinaux, Raoul (author)
Micro Air Vehicles (MAVs) are able to support humans in dangerous operations, such as search and rescue operations at night on unknown terrain. These scenes require a great amount of autonomy from the MAV, as they are often radio and GPS-denied. As MAVs have limited computational resources and energy storage, onboard navigation tasks have to be...
master thesis 2021
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Addaguduri Aditya, Aditya (author)
This project aims to explore the possibility of monitoring the vitals of the neonate remotely and without placing any sensors or electrodes on the subjects body using Thermal Imaging.
master thesis 2021
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Vroon, Erik (author)
Drones need to be able to detect and localize each other if they are to collaborate in multi-robot teams or swarms. Typically, computer vision methods based on visual appearance are investigated to this end. In contrast, in this work, a method based on dense optical flow (OF) is developed that detects dynamic objects. This is achieved by...
master thesis 2021
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Tran, Tommy (author)
Semantic segmentation methods have been developed and applied to single images for object segmentation. However, for robotic applications such as high-speed agile Micro Air Vehicles (MAVs) in Autonomous Drone Racing (ADR), it is more interesting to consider temporal information as video sequences are correlated over time. In this work, we...
master thesis 2022
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Eggers, Yvonne (author)
Event cameras and spiking neural networks (SNNs) allow for a highly bio-inspired, low-latency and power efficient implementation of optic flow estimation. Just recently, a hierarchical SNN was proposed in which motion selectivity is learned from raw event data in an unsupervised manner using spike-timing-dependent plasticity (STDP). However,...
master thesis 2022
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