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Persa, S.F. (author)The focus of this thesis is on studying diverse techniques, methods and sensors for position and orientation determination with application to augmented reality applications. In Chapter 2 we reviewed a variety of existing techniques and systems for position determination. From a practical point of view, we discussed the need for a mobile system...doctoral thesis 2006
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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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Vissers, B.H.A. (author)When a humanoid robot is performing a certain task and is simultaneously maintaining balance, it is important that it can accurately measure its own state. The state is described by a number of variables, such as the center of mass (CoM) and the location of the feet. This information is used by the motion controllers to properly execute the task...master thesis 2012
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Liu, Z. (author)The fusion of measurements from distributed sensors for dynamic positioning (DP) system based on state estimation algorithms is studied in this thesis in order to increase the accuracy and redundancy of the reference system in DP and a state observer is also designed to estimate of the low frequency vessel motion for the input of DP controller....master thesis 2015
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Roobeek, M. (author)Injuries are a sportsman’s worst nightmare: They withhold players from playing, they weaken teams and they force clubs to buy a bench-full of substitutes. On top of that, injuries can cause an awful lot of pain. Regulating match and training intensity can drastically decrease the risk of getting injured. Furthermore, it can optimally prepare...master thesis 2017
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- Kuyt, Conno (author) master thesis 2017
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Treffers, Michael (author), Melman, Bart (author)Current trailers and caravans use overrun brakes, which cause overheated brakes in the mountains. A solution is to design an electric brake system in which the brakes are controlled electronically instead of mechanically. The report discusses the control models associated with braking, anti-sway detection and velocity sensor fusion. The RDW...bachelor thesis 2017
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Masic, Arnela (author)Accessibility of offshore structures is strongly affected by local weather and wave conditions. During rough wave climates, vessel motions prevent people to be transferred safely from and to an offshore structure. To increase accessibility, Ampelmann developed a motion compensating gangway system. The system uses a 6 DoF motion sensor to measure...master thesis 2017
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de Bruin, T.D. (author), Kober, J. (author), Tuyls, K.P. (author), Babuska, R. (author)Most deep reinforcement learning techniques are unsuitable for robotics, as they require too much interaction time to learn useful, general control policies. This problem can be largely attributed to the fact that a state representation needs to be learned as a part of learning control policies, which can only be done through fitting expected...journal article 2018
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Carisi, Stefano (author)Objective. Dexterous control of myoelectric upper limb prosthesis is still limited by the capabilities of the modern human-machine interfaces. The first goal of the current work was to develop a system that supplements the academic myoelectric state-of-the-art interface during the interaction with objects (e.g., grasping, manipulation) with the...master thesis 2018
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GAO, Xinyu (author)Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which detect target objects in the images. Although image-based detectors can provide a rather accurate 2D position of the object in the image, it is necessary to get the accurate...master thesis 2018
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Richa, Eduardo (author)The detection of unusual behavior plays a crucial role in the prevention of illegal and harmful activities such as smuggling, piracy, arms trading, human trafficking and illegal immigration. Also for military applications, it is useful to detect anomalous behavior to provide an alert for potential threats, especially with the more recent...master thesis 2018
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Scharff, R.B.N. (author), Doornbusch, Rens M. (author), Doubrovski, E.L. (author), Wu, J. (author), Geraedts, Jo M.P. (author), Wang, C.C. (author)Actuators using soft materials feature a large number of degrees of freedom. This tremendous flexibility allows a soft actuator to passively adapt its shape to the objects under interaction. In this paper, we propose a novel proprioception method for soft actuators during real-time interaction with previously unknown objects. First, we design...journal article 2019
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de Vries, Maarten (author)Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade this topic has gained extra importance. In the current literature GNSS based pose and localisation is often improved through fusion with either a IMU}or VS with the goal of...master thesis 2019
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Shah, Dhaval (author)Advances in sensing and machine learning technologies give rise to personal health coaches that monitor human activities and support healthy behaviour. In this context, wheelchair users can benefit from such technologies as they often suffer from physical ailments due to insufficient or over activity, prolonged improper posture and lack of...master thesis 2019
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Katsaounis, Georgios (author)Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is very small have gained research interest recently. In these cases, it is possible that multiple sensor detections are generated by each object of interest. Extended Object...master thesis 2019
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Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)Autonomous robots heavily rely on well-tuned state estimation filters for successful control. This letter presents a novel automatic tuning strategy for learning filter parameters by minimizing the innovation, i.e., the discrepancy between expected and received signals from all sensors. The optimization process only requires the inputs and...journal article 2019
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van der Heijden, Bas (author)Three bias estimation frameworks are presented that mitigate position-dependent ranging errors often present in ultra-wideband localization systems. State estimation and control are integrated, such that the positioning accuracy improves over iterations. The frameworks are experimentally evaluated on a quadcopter platform. Two state augmentation...master thesis 2019
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Palffy, A. (author), Dong, Jiaao (author), Kooij, J.F.P. (author), Gavrila, D. (author)This letter presents a novel radar based, single-frame, multi-class detection method for moving road users ( pedestrian, cyclist, car ), which utilizes low-level radar cube data. The method provides class information both on the radar target- and object-level. Radar targets are classified individually after extending the target features with a...journal article 2020
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Weygers, Ive (author), Kok, M. (author), Konings, Marco (author), Hallez, Hans (author), De Vroey, Henri (author), Claeys, Kurt (author)The use of inertial measurement units (IMUs) has gained popularity for the estimation of lower limb kinematics. However, implementations in clinical practice are still lacking. The aim of this review is twofold-to evaluate the methodological requirements for IMU-based joint kinematic estimation to be applicable in a clinical setting, and to...review 2020