Papers Raspberry Pi 5
“Raspberry Pi 5” 태그가 달린 논문 11편 · 필터 해제
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions have limitations such as poor performance…
Autonomous NavigationGraph Neural NetworkPoint Cloud GenerationRaspberry Pi 5Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation
Large Language Models (LLMs) have significant impact on the healthcare scenarios but remain prohibitively large for deployment in real-time, resource-constrained environments such as edge devices. In this work, we introd…
MedQAQuantizationRaspberry Pi 5Localization and path following for an autonomous e-scooter
In order to mitigate economical, ecological, and societal challenges in electric scooter (e-scooter) sharing systems, we develop an autonomous e-scooter prototype. Our vision is to design a fully autonomous prototype tha…
Raspberry Pi 5Scalable Discrete Event Simulation Tool for Large-Scale Cyber-Physical Energy Systems: Advancing System Efficiency and Scalability
Modern power systems face growing risks from cyber-physical attacks, necessitating enhanced resilience due to their societal function as critical infrastructures. The challenge is that defense of large-scale systems-of-s…
Raspberry Pi 5Focal Split: Untethered Snapshot Depth from Differential Defocus
We introduce Focal Split, a handheld, snapshot depth camera with fully onboard power and computing based on depth-from-differential-defocus (DfDD). Focal Split is passive, avoiding power consumption of light sources. Its…
Raspberry Pi 5A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications
Advancements in embedded systems and Artificial Intelligence (AI) have enhanced the capabilities of Unmanned Aircraft Vehicles (UAVs) in computer vision. However, the integration of AI techniques o-nboard drones is const…
NVIDIA Jetson Orin Nanoobject-detectionObject DetectionQuantization+1TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
Designing efficient neural networks for embedded devices is a critical challenge, particularly in applications requiring real-time performance, such as aerial imaging with drones and UAVs for emergency responses. In this…
Aerial Scene ClassificationCPUGPUImage Classification+4Automated monitoring of bee colony movement in the hive during winter season
In this study, we have experimentally modelled the movement of a bee colony in a hive during the winter season and developed a monitoring system that allows tracking the movement of the bee colony and honey consumption. …
PICORaspberry Pi 5Generative AI on the Edge: Architecture and Performance Evaluation
6G's AI native vision of embedding advance intelligence in the network while bringing it closer to the user requires a systematic evaluation of Generative AI (GenAI) models on edge devices. Rapidly emerging solutions bas…
CPURaspberry Pi 5Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach
Coronary heart disease (CHD) is a severe cardiac disease, and hence, its early diagnosis is essential as it improves treatment results and saves money on medical care. The prevailing development of quantum computing and …
GPUQuantum Machine LearningRaspberry Pi 5SpecificityT-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
The deployment of Large Language Models (LLMs) on edge devices is increasingly important to enhance on-device intelligence. Weight quantization is crucial for reducing the memory footprint of LLMs on devices. However, lo…
Computational EfficiencyCPUQuantizationRaspberry Pi 5