Obstacle detection system for navigation assistance of visually impaired people based on deep learning techniques
Visually impaired people seek social integration, yet their mobility is restricted. They need a
personal navigation system that can provide privacy and increase their confidence for better …
personal navigation system that can provide privacy and increase their confidence for better …
AI on the Road: NVIDIA Jetson Nano-Powered Computer Vision-Based System for Real-Time Pedestrian and Priority Sign Detection
Advances in information and signal processing, driven by artificial intelligence techniques
and recent breakthroughs in deep learning, have significantly impacted autonomous driving …
and recent breakthroughs in deep learning, have significantly impacted autonomous driving …
Scene recognition for visually-impaired people's navigation assistance based on vision transformer with dual multiscale attention
Notable progress was achieved by recent technologies. As the main goal of technology is to
make daily life easier, we will investigate the development of an intelligent system for the …
make daily life easier, we will investigate the development of an intelligent system for the …
The Efficient Traffic Sign Detection and Recognition for Taiwan Road Using YOLO Model with Hybrid Dataset
T Suwattanapunkul, LJ Wang - 2023 9th International …, 2023 - ieeexplore.ieee.org
According to the trend of worldwide car sales have grown up, this cause may increase
accidents on the road due to human error. The self-driverless car has been developed to …
accidents on the road due to human error. The self-driverless car has been developed to …
An Edge-Enhanced Branch for Multi-Frame Motion Deblurring
S Moriyama, K Ichige - IEEE Access, 2024 - ieeexplore.ieee.org
Non-uniform deblurring is one of the most important image restoration tasks for providing
appropriate information for subsequent applications that require image recognition …
appropriate information for subsequent applications that require image recognition …
A transfer learning approach for smart home application based on evolutionary algorithms
Building new systems used for indoor sign recognition and indoor wayfinding assistance
navigation, especially for blind and visually impaired persons, presents a very important …
navigation, especially for blind and visually impaired persons, presents a very important …
Research on Traffic Sign Detection and Recognition System Using Deep Ensemble Learning
LJ Wang, T Suwattanapunkul, J Thalauy… - … and the Internet …, 2024 - ieeexplore.ieee.org
There is a rise in car accidents due to human errors on the road. A critical task of self-driving
cars that can reduce accidents on the road is traffic sign detection and recognition (TSDR) …
cars that can reduce accidents on the road is traffic sign detection and recognition (TSDR) …
An Effective Traffic Sign Image Classification and Detection Using CNN
J Mishra, S Goyal - Smart Data Intelligence: Proceedings of ICSMDI 2022, 2022 - Springer
Traffic signs are important parts of modern transportation systems because they keep roads
safe and help drivers. There are two types of traffic signs: symbol-based and text-based. It is …
safe and help drivers. There are two types of traffic signs: symbol-based and text-based. It is …
They Way to Design Wireless Based Mundane Kind of Pawls Technique for Communication System
The need for a backhaul/fronthaul infrastructure that is fast, affordable, and simple to
construct cannot be emphasised in the quickly changing world of wireless networks. This …
construct cannot be emphasised in the quickly changing world of wireless networks. This …
Driver Assistance System Using YOLOv7 Algorithm
S Seo, CH Lin - 2024 International Conference on Electronics …, 2024 - ieeexplore.ieee.org
In this paper, we introduce an Advanced Driver Assistance System (ADAS) powered by the
YOLOv7 algorithm. The choice of the YOLOv7 algorithm hinges on its cost-effective …
YOLOv7 algorithm. The choice of the YOLOv7 algorithm hinges on its cost-effective …