activity
20162026
most citedThe Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology

428 citations · 4.5k across the 191 of their papers we have counts for

collaborators
Showing cs.CVShow all

21 papers · 1 filter

cs.CV2026

Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System

Lorenzo Lamberti, Manuele Rusci, Marco Fariselli +2

In this paper, we present the first (to the best of our knowledge) demonstration of a low-power MCU-based edge device for Automatic License Plate Recognition (ALPR). The design lev…

cs.CV2023★ 19 cited

Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems

Julian Moosmann, Hanna Mueller, Nicky Zimmerman +3

This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge systems with a power…

cs.CV2023

ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras

Sizhen Bian, Lukas Schulthess, Georg Rutishauser +3

The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is raising, especially due to the microsecond-level reaction time of the bio-inspired event senso…

cs.CV2023★ 4 cited

Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation

Jonas Kühne, Michele Magno, Luca Benini

Optical flow estimation is crucial for autonomous navigation and localization of unmanned aerial vehicles (UAV). On micro and nano UAVs, real-time calculation of the optical flow i…

cs.CV2023★ 1 cited

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras

Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig +5

Optical flow provides information on relative motion that is an important component in many computer vision pipelines. Neural networks provide high accuracy optical flow, yet their…

cs.CV2023

Factorizers for Distributed Sparse Block Codes

Michael Hersche, Aleksandar Terzic, Geethan Karunaratne +6

Distributed sparse block codes (SBCs) exhibit compact representations for encoding and manipulating symbolic data structures using fixed-width vectors. One major challenge however…