Searched for: subject%3A%22trajectories%22
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van Dillen, Bob (author)
The introduction of Trajectory Based Operations (TBO) is set to change the operation on all levels of Air Traffic Control (ATC), including aerodrome control. Here, adherence to a planned four-dimensional trajectory is important to achieve a stable operation. At the same time, this concept provides possibilities for support tools to be used in...
master thesis 2024
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Asia, Jowel (author)
The Citadel of Aleppo is one of the oldest and largest castles in the world, and the greatest landmark of Aleppo. Located on top of a hill in the middle of the city, it stands as a symbol of resilience, having faced many challenges during various historical events through the centuries. This thesis analyses the architectural trajectory of Aleppo...
student report 2024
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Eshuis, Pauline (author)
Visits to the pediatric outpatient clinic are often accompanied by stress and anxiety, not only in the child but also within the parents. Within current trends in healthcare, parents are becoming more and more involved in the treatment of their child. The Hospital Hero Foundation, that already developed an app to reduce hospital related fear and...
master thesis 2024
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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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Woernle, Severin (author)
Lower-limb exoskeletons often use trajectory-tracking control to define the device's motion and assistance level. One challenge lies in ensuring a smooth and comfortable interaction between the user and the robotic device by defining a reference trajectory. While recent research has focused on generating individualized gait patterns based on...
master thesis 2024
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Raghunandan, Mithun (author)
This research investigates the role of time prediction accuracy in optimizing Continuous Descent Operations (CDO) within the aviation sector, with a specific focus on assessing the additional benefits brought forth by the integration of Air-Ground Datalink technologies. Continuous Descent Operations, characterized by uninterrupted and efficient...
master thesis 2024
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Weinans, Tom (author)
Autonomy in traffic (e.g., autonomous vehicles) could potentially benefit mobility, safety, accessibility and sustainability. However, the realisation of these advancements is highly dependent on how effective these autonomous vehicles interact with vulnerable road users such as pedestrians. Before we can understand how pedestrians will interact...
master thesis 2024
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Gwalani, Punit (author)
With a dedicated mission to the Martian moons, Phobos and Deimos, set to launch soon, there is a growing interest in further exploring these moons using low-thrust propulsion. This paper investigates the trajectory design for a sample-return mission from Deimos using fuel-free solar sail propulsion technology, aiming to maximize operational time...
master thesis 2024
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Staelens, Michael (author)
Cryogenic and semi-cryogenic propellants are the most commonly used liquid propellants for applications in medium-lift launch vehicles. Despite their high performance, the storage requirements for these propellants often lead to complex, heavy, and voluminous structures. The only storable propellant used in medium-lift launch vehicles, UDMH/NTO,...
master thesis 2024
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Kockelkoren, Michiel (author)
In recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception...
master thesis 2024
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Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)
Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory prediction contains many sources of uncertainty in data and modelling. A thorough understanding of this uncertainty is crucial in a safety-critical task like auto-piloting a vehicle. In practice, it is necessary to distinguish between the uncertainty...
journal article 2024
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Papaioannou, G. (author), Maroof, Vallan (author), Jerrelind, Jenny (author), Drugge, Lars (author)
Effective emission control technologies and eco-friendly propulsion systems have been developed to decrease exhaust particle emissions. However, more work must be conducted on non-exhaust traffic-related sources such as tyre wear. The advent of automated vehicles (AVs) enables researchers and automotive manufacturers to consider ways to further...
journal article 2024
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Heinen, Jan T. (author), Brockie, S.G. (author), ten Broek, Raymund (author), van der Kruk, E. (author), Moore, J.K. (author)
The ollie is the base aerial human–board maneuver, foundational to most modern skateboarding tricks. We formulate and solve an optimal control problem of a two-dimensional simplified human model and a rigid body skateboard with the objective of maximizing the height of the ollie. Our solution simultaneously discovers realistic human-applied...
journal article 2024
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Simorgh, A. (author), Soler, Manuel (author), Dietmüller, Simone (author), Matthes, Sigrun (author), Yamashita, Hiroshi (author), Castino, F. (author), Yin, F. (author)
The non-CO<sub>2</sub> climate impact of aviation strongly relies on the atmospheric conditions at the time and location of emissions. Therefore, it is possible to mitigate their associated climate impact by planning trajectories to re-route airspace areas with significant climate effects. Identifying such climate-sensitive regions requires...
journal article 2024
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Simorgh, A. (author), Soler, Manuel (author), Castino, F. (author), Yin, F. (author), Cerezo Magana, M. (author)
The spatiotemporal dependency of aviation-induced non-CO<sub>2</sub> climate effects can be incorporated into flight planning tools to generate climate-friendly flight plans. However, estimating climate impact is challenging and associated with high uncertainty. To ensure the effectiveness of such an operational measure, sources that induce...
journal article 2024
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Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)
Resolving predicted conflicts is vital for safe and efficient autonomous vehicles (AV). In practice, vehicular motion prediction faces inherent uncertainty due to heterogeneous driving behaviours and environments. This spatial uncertainty increases non-linearly with prediction time horizons, leading AVs to perceive more road space occupied by...
journal article 2024
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Chen, K. (author), Li, Zhibin (author), Liu, Pan (author), Knoop, V.L. (author), Han, Yu (author), Jiao, Y. (author)
A lane-changing (LC) maneuver may cause the follower in the target lane (new follower) to decelerate and give up space, potentially affecting crash risk and traffic flow efficiency. In congested flow, a more aggressive LC maneuver occurs where the lane changer is partially next to the new follower and creates negative gaps, namely negative...
journal article 2024
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Lebègue, J. (author), Guitart, Andréas (author), Demouge, Céline (author), Delahaye, Daniel (author), Hoekstra, J.M. (author), Feron, Eric (author)
Weather obstacles in the airspace can interfere with an aircraft’s flight plan. Pilots, assisted by air traffic controllers (ATCs), perform avoidance maneuvers that can be optimized. This paper addresses the generation of alternative aircraft trajectories to resolve unexpected events. The authors propose a solution based on the RRG algorithm,...
conference paper 2024
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Trevisan, E. (author), Alonso-Mora, J. (author)
Motion planning for autonomous robots in dynamic environments poses numerous challenges due to uncertainties in the robot's dynamics and interaction with other agents. Sampling-based MPC approaches, such as Model Predictive Path Integral (MPPI) control, have shown promise in addressing these complex motion planning problems. However, the...
journal article 2024
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Peters, L. (author), Bajcsy, Andrea (author), Chiu, Chih Yuan (author), Fridovich-Keil, David (author), Laine, Forrest (author), Ferranti, L. (author), Alonso-Mora, J. (author)
Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty. In this work we take a game-theoretic perspective on contingency planning, tailored to multi-agent scenarios in which a robot's actions impact the...
journal article 2024
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