2 citations · 3 across the 5 of their papers we have counts for
5 papers
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator
Federico Nicolas Peccia, Svetlana Pavlitska, Tobias Fleck +1
The growing concerns regarding energy consumption and privacy have prompted the development of AI solutions deployable on the edge, circumventing the substantial CO2 emissions asso…
MR3D-Net: Dynamic Multi-Resolution 3D Sparse Voxel Grid Fusion for LiDAR-Based Collective Perception
Sven Teufel, Jörg Gamerdinger, Georg Volk +1
The safe operation of automated vehicles depends on their ability to perceive the environment comprehensively. However, occlusion, sensor range, and environmental factors limit the…
SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
Jörg Gamerdinger, Sven Teufel, Patrick Schulz +3
Collective perception has received considerable attention as a promising approach to overcome occlusions and limited sensing ranges of vehicle-local perception in autonomous drivin…
A Configurable and Efficient Memory Hierarchy for Neural Network Hardware Accelerator
Oliver Bause, Paul Palomero Bernardo, Oliver Bringmann
As machine learning applications continue to evolve, the demand for efficient hardware accelerators, specifically tailored for deep neural networks (DNNs), becomes increasingly vit…
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators
Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck +2
Artificial Intelligence (AI) has witnessed remarkable growth, particularly through the proliferation of Deep Neural Networks (DNNs). These powerful models drive technological advan…