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Nitijevskis, Arsenijs (author)
The railway industry is constantly growing to meet the demand of society for stable, accessible and sustainable transportation. With this growth, the need for the railway to be reliable increases, requiring frequent surveying and maintenance. Fugro's RILA (Rail Infrastructure aLignment Acquisition) mobile mapping system contributes by making the...
master thesis 2024
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Bekkers, Sam (author)
The generation of a 3D map of an unseen environment, obtained through solving the SLAM problem, is a popular topic currently in the robotics domain. The Lunar Rover Mini (LRM) at the German Aerospace Center solves this problem using a RGB-D camera system, which is favourable in space applications due to its lightweight characteristics and energy...
master thesis 2024
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Xu, Chenghao (author)
In recent years, visual Simultaneous Localization and Mapping (SLAM) have gained significant attention and found wide-ranging applications in diverse scenarios. Recent advances in computer vision and deep learning also enrich visual SLAM capabilities in scene understanding and large-scale operation. However, despite remarkable performance in...
master thesis 2023
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Keser, Anabel (author)
Catamarans are popular in the offshore sector as they combine good transverse stability and ample deck space with low wave resistance. However, their slender hull shape results in low restoring qualities in heave and pitch motions. The large motions in rough weather can often result in water impacting the underside of the deck connecting the two...
master thesis 2023
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de Almeida Sousa, E. (author)
Hydraulic structures are crucial for navigation, water management and flood protection in low-lying coastal and delta regions. Their importance is expected to continue growing in the coming years, because of the consequences of climate change and the continuous development and urbanization of these regions combined with more strict safety...
doctoral thesis 2023
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Viset, F.M. (author), Helmons, R.L.J. (author), Kok, M. (author)
Accurately estimating the positions of multi-agent systems in indoor environments is challenging due to the lack of Global Navigation Satelite System (GNSS) signals. Noisy measurements of position and orientation can cause the integrated position estimate to drift without bound. Previous research has proposed using magnetic field simultaneous...
conference paper 2023
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Nagavarapu, Sarat Chandra (author), Abraham, Anuj (author), Selvaraj, Nithish Muthuchamy (author), Dauwels, J.H.G. (author)
Autonomous vehicles (AV) are one of the greatest technological advancements of this decade and a giant leap in the transportation industry and mobile robotics. Autonomous vehicles face several major challenges in achieving higher levels of autonomy. One of these is to find a fast and reliable algorithm to process the sensor data so that the...
conference paper 2023
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Kemmeren, Anne (author)
This thesis proposes a novel algorithm, Wi-Closure, to improve computational efficiency and robustness of map matching in multi-robot SLAM. Current state-of-the-art techniques connect maps with inter-robot loop closures, that are usually found through place recognition. Wi-Closure decreases the computational overhead of these approaches by...
master thesis 2022
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Veen, Thijs (author)
Indoor localisation is a growing field of interest in recent studies. While GPS (global positioning system) is a standard for outdoor localisation, no such solution exists for indoor applications. The literature provides several methods to obtain the location of indoor systems, often using optical sensors. A small number of recent studies use...
master thesis 2022
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Coroz, Meltem (author)
A robotic vehicle must continuously determine its position within the map to traverse a path safely; this is called self-localization. Current localization methods use mainly sensors like LIDARS. However, a LIDAR does not return data points if the environment is an empty field; the laser scan of the LIDAR does not reflect without obstacles,...
master thesis 2022
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Looman, Danny (author)
Underwater position estimation is challenging due to the absence of Global Navigation Satellite System (GNSS) signals. Underwater vehicles are typically equipped with a Doppler Velocity Log (DVL) that measures the velocity relative to the seafloor. Aside from the velocity, the DVL also measures the range of each of the four beams. When compared...
master thesis 2022
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Vonk, Arjan (author)
Mapping an environment with a Light Detection and Ranging (LiDAR) sensor through the use of a LiDAR Simultaneous Localization And Mapping (SLAM) algorithm is a powerful technology that allows for the creation of detailed 3D models. Recently various LiDAR sensors have been developed based on Micro-Electro-Mechanical System (MEMS) technology....
master thesis 2022
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van Bavel, Henri (author)
In order to improve the autonomy of construction robots, a Simultaneous Localization and Mapping (SLAM) solution is needed that localizes the robot using solely on-board sensing with sub-5 mm accuracy. As pointed out by the results of the Hilti SLAM Challenge, the state-of-the-art in SLAM currently does not offer a solution that comes close to...
master thesis 2022
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Xin, Jianjian (author), Shi, Fulong (author), Fan, Shi (author), Jin, Qiu (author), Chang, X. (author)
The water impact of one and twin free-falling wedges is numerically investigated by a Cartesian grid multiphase flow model. The effects of the drop velocity and the gap distance on the hydrodynamic behaviors are parametrically investigated. The numerical model involves a radial basis function ghost cell method (RBFGCM) for treating moving...
journal article 2022
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Kok, M. (author), Viset, F.M. (author), Osman, M.E.A. (author)
In this work, our focus is on indoor localization using the indoor magnetic field as a source of position information. This relies on the fact that ferromagnetic materials inside buildings cause the magnetic field to vary spatially. We jointly estimate the pose of a combined sensor module (containing a magnetometer) as well as the magnetic field...
conference paper 2022
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Osman, M.E.A. (author), Viset, F.M. (author), Kok, M. (author)
In this paper, a simultaneous localization and mapping algorithm for tracking the motion of a pedestrian with a foot-mounted inertial measurement unit is proposed. The algorithm uses two maps, namely, a motion map and a magnetic field map. The motion map captures typical motion patterns of pedestrians in buildings that are constrained by e.g....
conference paper 2022
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Petrov, N. (author), Yarovoy, Alexander (author)
This paper presents a new method of automotive MIMO radar self-calibration which uses targets of opportunity embedded in road infrastructure, such as road signs and traffic lights. While conventional offline calibration of a phased array antenna requires accurate knowledge of the positions of calibration targets relative to the radar, such...
conference paper 2022
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Radhakrishnan, Prakash (author)
Simultaneous Localisation and Mapping (SLAM) provide a novel solution for the robots to localise and navigate an unknown environment. Initial SLAM research focused mainly on the indoor environment, assuming the background to be primarily static. In contrast, the real world has dynamic interactions that restrict the implementation of SLAM to...
master thesis 2021
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Salzmann, Elke (author)
Autonomous robots are increasingly used in more and more applications, such as warehouse robots, search-and-rescue robots and autonomous vacuum cleaners. These applications are often in environments where the GPS signals are denied or inaccurate, which makes it difficult to localize the robot in an unknown environment. To overcome this problem...
master thesis 2021
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Markhorst, Thomas (author)
Proper maintenance and inspection of aircraft and their engines is important for society. These engine inspections are performed using borescopes of which the footage is manually analysed. Having the opportunity to reconstruct a 3D model of the rotors would ease the inspection and introduce the possibility to automate the process. Monocular SLAM...
bachelor thesis 2021
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