Data Fusion for Cross-Domain Real-Time Object Detection on the Edge

Data Fusion for Cross-Domain Real-Time Object Detection on the Edge

We investigate an edge-computing scenario for robot control, where two similar neural networks are running on one computational node. We test the feasibility of using a single object-detection model (YOLOv5) with the benefit of reduced computational resources against the potentially more accurate in...

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Bibliographic Details
Main Authors: Mykyta Kovalenko, David Przewozny, Peter Eisert, Sebastian Bosse, Paul Chojecki
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
object detection
edge computing
human-computer interaction
visual analysis
optimization
Online Access:https://www.mdpi.com/1424-8220/23/13/6138

Internet

https://www.mdpi.com/1424-8220/23/13/6138

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