Improved YOLOv5-Based Lightweight Object Detection Algorithm for People with Visual Impairment to Detect Buses

Improved YOLOv5-Based Lightweight Object Detection Algorithm for People with Visual Impairment to Detect Buses

Object detection is crucial for individuals with visual impairment, especially when waiting for a bus. In this study, we propose a lightweight and highly accurate bus detection model based on an improved version of the YOLOv5 model. We propose integrating the GhostConv and C3Ghost Modules into the Y...

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Bibliographic Details
Main Authors: Rio Arifando, Shinji Eto, Chikamune Wada
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
bus detection
visual impairment
YOLOv5
Ghostnet
SimSPPF
slim scale model
Online Access:https://www.mdpi.com/2076-3417/13/9/5802

Internet

https://www.mdpi.com/2076-3417/13/9/5802

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