5 papers
Real-Time Semantic Segmentation on FPGA for Autonomous Vehicles Using LMIINet with the CGRA4ML Framework
Amir Mohammad Khadem Hosseini, Sattar Mirzakuchaki
Semantic segmentation has emerged as a fundamental problem in computer vision, gaining particular importance in real-time applications such as autonomous driving. The main challeng…
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules
Narges Semiromizadeh, Omid Nejati Manzari, Shahriar B. Shokouhi +1
Vehicle make and model recognition (VMMR) is a crucial component of the Intelligent Transport System, garnering significant attention in recent years. VMMR has been widely utilized…
Dynamic Power Control in a Hardware Neural Network with Error-Configurable MAC Units
Maedeh Ghaderi, Arvin Delavari, Faraz Ghoreishy +1
Multi-Layer Perceptrons (MLP) are powerful tools for representing complex, non-linear relationships, making them essential for diverse machine learning and AI applications. Efficie…
Evaluation of Run-Time Energy Efficiency using Controlled Approximation in a RISC-V Core
Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini +1
The limited energy available in most embedded systems poses a significant challenge in enhancing the performance of embedded processors and microcontrollers. One promising approach…
A Reconfigurable Approximate Computing RISC-V Platform for Fault-Tolerant Applications
Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini +1
The demand for energy-efficient and high performance embedded systems drives the evolution of new hardware architectures, including concepts like approximate computing. This paper…