Improved YOLOv10 for Visually Impaired: Balancing Model Accuracy and Efficiency in the Case of Public Transportation

Improved YOLOv10 for Visually Impaired: Balancing Model Accuracy and Efficiency in the Case of Public Transportation

Advancements in automation and artificial intelligence have significantly impacted accessibility for individuals with visual impairments, particularly in the realm of bus public transportation. Effective bus detection and bus point-of-view (POV) classification are crucial for enhancing the independe...

Full description

Saved in:
Bibliographic Details
Main Authors: Rio Arifando, Shinji Eto, Tibyani Tibyani, Chikamune Wada
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Informatics
Subjects:
YOLOv10
coordinate attention
adaptive Kernel convolution
bus detection
POV classification
assistive technology
Online Access:https://www.mdpi.com/2227-9709/12/1/7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-9709/12/1/7

Similar Items