3 citations · 5 across the 14 of their papers we have counts for
8 papers · 1 filter
SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators
Yaman Umuroglu, Christoph Berganski, Felix Jentzsch +8
While neural network quantization effectively reduces the cost of matrix multiplications, aggressive quantization can expose non-matrix-multiply operations as significant performan…
Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms
Mateusz Wasala, Mateusz Smolarczyk, Michal Danilowicz +1
Accurate position estimation is essential for modern navigation systems deployed in autonomous platforms, including ground vehicles, marine vessels, and aerial drones. In this cont…
High Throughput Event Filtering: The Interpolation-based DIF Algorithm Hardware Architecture
Marcin Kowalczyk, Tomasz Kryjak
In recent years, there has been rapid development in the field of event vision. It manifests itself both on the technical side, as better and better event sensors are available, an…
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
Marcin Kowalczyk, Kamil Jeziorek, Tomasz Kryjak
Event-based sensors offer significant advantages over traditional frame-based cameras, especially in scenarios involving rapid motion or challenging lighting conditions. However, e…
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs
Kamil Jeziorek, Tomasz Kryjak
Event cameras offer significant advantages over traditional frame-based sensors. These include microsecond temporal resolution, robustness under varying lighting conditions and low…
Vision-based automatic fruit counting with UAV
Hubert Szolc, Mateusz Wasala, Remigiusz Mietla +2
The use of unmanned aerial vehicles (UAVs) for smart agriculture is becoming increasingly popular. This is evidenced by recent scientific works, as well as the various competitions…
Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA
Michal Danilowicz, Tomasz Kryjak
Multi-object tracking (MOT) is one of the most important problems in computer vision and a key component of any vision-based perception system used in advanced autonomous mobile ro…
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
Hiroshi Nakano, Krzysztof Blachut, Kamil Jeziorek +6
As the quantities of data recorded by embedded edge sensors grow, so too does the need for intelligent local processing. Such data often comes in the form of time-series signals, b…