Research
Find research shared by the Owlstown community.
Modular design of a factor-graph-based inference engine on a System-On-Chip (SoC)
Publication · September 03, 2025
Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda
Abstract
EVA is describing a new class of emotion-aware autonomous systems delivering intelligent personal assistant functionalities. EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics s...
Publication · September 03, 2025
Gumpy: a Python toolbox suitable for hybrid brain–computer interfaces
Abstract
Objective. The objective of this work is to present gumpy, a new free and open source Python toolbox designed for hybrid brain–computer interface (BCI). Approach. Gumpy provides state-of-the-art algorithms and includes a rich selection ...
Publication · September 03, 2025
FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization
Abstract
A factor graph (FG) can be considered as a unified model combining a Bayesian network (BN) and a Markov random field (MRF). The inference mechanism of a FG can be used to perform reasoning under incompleteness and uncertainty, which is ...
Publication · September 03, 2025
Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware
Abstract
Objective. The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-base...
Publication · September 03, 2025
A comparison between a traditional PID controller and an Artificial Neural Network controller in manipulating a robotic arm
Publication · September 03, 2025
Event-Based Vision: A Survey
Abstract
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the tim...
Publication · September 03, 2025
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors
Abstract
Neuromorphic vision sensors are bio-inspired cameras that naturally capture the dynamics of a scene with ultra-low latency, filtering out redundant information with low power consumption. Few works are addressing the object detection wi...
Publication · September 03, 2025
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach
Publication · September 03, 2025
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions
Publication · September 03, 2025
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