1 citations · 1 across the 7 of their papers we have counts for
8 papers
Spiking Neural Network Actor-Critic Proximal Policy Optimization Control for Autonomous UAV Navigation Through Constrained Openings in Civil Infrastructure and Buildings
Francis Noah Walugembe, Maciej Wielgosz, Tomaž Goričan +1
Autonomous navigation of unmanned aerial vehicles in constrained three-dimensional environments has been a challenge in the robotics domain. The application of autonomous unmanned…
Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentation
Henok Teklu, Mustafa Sakhai, Maciej Wielgosz +1
Anticipating whether a pedestrian will cross the road is safety-critical for autonomous vehicles, requiring real-time inference under challenging conditions including motion blur,…
A Time-Multiplexed Spiking Neural Network Accelerator with Pipelined Readout for FPGA Inference
Reza Ansari, Maciej Wielgosz
Spiking Neural Networks (SNNs) provide a power-efficient neuromorphic alternative to traditional artificial neural networks by processing information through discrete temporal even…
InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making
Mustafa Sakhaia, Kaung Sithua, Min Khant Soe Okea +1
Autonomous driving systems rely heavily on robust sensor fusion to perceive complex envi- ronments. Traditional setups using RGB cameras and LiDAR often struggle in high-dynamic- r…
Compression and Inference of Spiking Neural Networks on Resource-Constrained Hardware
Karol C. Jurzec, Tomasz Szydlo, Maciej Wielgosz
Spiking neural networks (SNNs) communicate via discrete spikes in time rather than continuous activations. Their event-driven nature offers advantages for temporal processing and e…
DVS-PedX: Synthetic-and-Real Event-Based Pedestrian Dataset
Mustafa Sakhai, Kaung Sithu, Min Khant Soe Oke +1
Event cameras like Dynamic Vision Sensors (DVS) report micro-timed brightness changes instead of full frames, offering low latency, high dynamic range, and motion robustness. DVS-P…