Short-term vessel trajectory and manoeuvre prediction: Predicting vessel trajectories including swing manoeuvres in a scoped area of the Port of Antwerp-Bruges

Situational awareness within port areas is crucial to avoid collisions, navigate efficiently and reduce congestion. Maritime-traffic controllers constantly monitor the situation in the port and intervene when needed. This study proposes a deep learning model that predicts future vessel positions to assist in this process. The model employs a...

Low complexity crosstalk cancellation algorithm for consumer audio systems: Optimizing crosstalk cancellation from a human sound perception perspective

Over the past decade, spatial audio awareness evolved into an in-demand feature in audio entertainment. The addition of sound source locations to, for instance, movies or music adds a level of auditory envelopment and spatial awareness to the audio experience. Expensive setups present in, for instance, cinema's, are able to create this...

Consensus Algorithms for Single-Integrator Multi-Agent Systems

In multi-agent systems reaching consensus has been a long-standing problem. A considerable amount of research has been focused on how event-triggered consensus can be used to limit the energy consumption of the communication system while still ensuring convergence to the neighbourhood of a point or a formation. These algorithms rely on having...

Path planning for Lunar rovers: A lunar surface path finding and obstacle avoidance algorithm

The unique six-legged swarming rover Lunar Zebro is designed and produced by students from the Delft University of Technology. The objective of the rover is to accomplish an autonomous mission on the Lunar surface by 2024. This thesis evaluates a path planning algorithm that is designed for autonomous navigation in the Lunar environment. The...

AudioLocNet: Deep Neural Network Based Audio Source Localization for Inter Robot Localization

For my Master’s thesis, I developed and trained an audio-based localization system for indoor localization called AudioLocNet. AudioLocNet is based on convolutional neural networks and maps recordings from a small(10cm diameter) microphone array to a grid of locations around said array. AudioLocNet was made to be used by swarms of small robots...

µLightDigit: A TinyML System for Contactless Digit Recognition using Ambient Light

This thesis describes the design and implementation of µLightDigit, which is the second iteration of the LightDigit project: a contactless air-writing system based on ambient light detection with embedded deep learning using only simple photodiodes. The system is able to classify digits 0–9 written in the air by detecting the dynamic hand shadow...

Radar-based Drone Track-Before-Detect and Characteristics Estimation

Powered by technological advances, commercial drones have wide applications in areas such as photography, search, and rescue. However, the popularity of drones has raised technical and safety challenges for drone management and supervision. Traditional detect-before-track sensing approaches have reduced performance due to drones' low radar cross...

Subsea Communication System Using Quasi-Static Electric Fields: Software and Modulation

Unmanned underwater vehicles benefit from communication with a high data rate on relatively small distances (under 100 m). Existing communication methods are not able to provide this or present other shortcomings. Therefore, this bachelor end project focuses on a new type of underwater communication, quasi-static electric field communication....

Sensor-to-Cell Height Estimation for Conductivity Estimation in Cardiac Cells

The heart is one of our vital organs. It functions by periodically contracting in a rhythmic way. Sometimes, this rhythmic behaviour is affected by abnormalities in the tissue. These conditions are referred to as cardiac arrhythmias. One kind is of specific interest, called atrial fibrillation (AF). To further study AF, methods have been...

Subsea Communication System using Quasi-Static Electric Fields: Hardware Design

As electromagnetic waves cannot propagate sufficiently far in water, underwater communication is mainly performed using either acoustics or optics. However, none of these technologies have been proven to be completely effective in every situation. Therefore, research in new underwater communication systems can still bring large benefits to a...

Temporal Synchronization of Sensors

Advanced automotive vehicles are based on the real-time fusion of an increasing number of automotive sensors. For precise fusion of different sensors, measurements need to be synchronized both temporally and spatially. This thesis aims to design a hardware temporal synchronization block as part of the PRISTINE systolic array accelerator project...

Radar-Based Classification of Unmanned Aerial Vehicles (UAVs) Carrying Payloads

Unmanned Aerial Vehicles (UAVs), commonly referred to as drones have gained increasing popularity with current technological breakthroughs. Recent reports indicate the number of registered drones in the United States have crossed 850,000 and is expected to increase multi-fold over the coming years. The widespread applications of drones include...

Fusion of radar data from multiple MIMO systems to achieve higher angular resolution

In today's automotive applications, radar is widely used to estimate the target position and velocity with respect to the radar position. Estimating the position of the target in terms of range and velocity is fairly advanced and accurate. However, resolving two closely spaced targets in the azimuth domain which have the same range and relative...

ADS-B Signal Integrity and Security Verification Using a Coherent Software Defined Radio: Mitigation of the threat of maliciously injected signals in ADS-B networks

Automatic Dependent Surveillance – Broadcast (ADS-B) is an operational enhancement as part of next-generation air transportation systems in Air Traffic Control. It enables aircraft and airport vehicles to periodically broadcast the information from their on-board equipment, like their identification, GPS location, velocity, and intent. Compared...

Gathering a Machine Learning dataset for object detection from a satellite-platform: On bandwidth-efficient gathering of a Machine Learning dataset for Object Detection with Faster-RCNN from a satellite-platform

In the past years, small Earth Observation (EO) satellites have become increasingly capable of taking high-resolution images at high sample rates. These images contain valuable information for different sectors, such as the agricultural and military sector. Furthermore they can contain important information about the climate and climate change....

Fingertip haptic texture device

Tactile internet promises to enable humans to manipulate remote physical environments. The human interacts with the remote environment by manipulating a haptic device. Recently, research effort into tactile internet and haptic devices has seen a significant increase. However replicating one aspect of executing an action, feeling textures, is...

Single-Pixel Thermopile Sensors for people counting applications

People counting data in offices is used in many applications like HVAC system control and space management to increase comfort, decrease energy consumption and optimise space utilisation. In contrast to past approaches using imaging modalities that tend to be either expensive or intrusive, we consider single-pixel thermopile sensors for people...