@inproceedings{8f48d6d017f9406584c051bad1a801b5,
title = "On the Design and Development of an Intelligent Safety Warning System for Slow-Moving Vehicles",
abstract = "This paper explored different technologies for designing an intelligent safety warning system for slow-moving vehicles. With the recent advancements in edge computing devices and sensors, it is now possible to develop such a system with a reasonable cost, especially for human-powered small vehicles - such as bicycles. In our design, we utilized the recent advancements in computer vision, AI, machine learning, and Convolutional Neural Networks (CNNs) technologies to design and implement a prototype of such an intelligent safety warning system for slow-moving vehicles. We discussed the pros and cons of different technologies we tested and gave an in deep discussion of the design we chose. We also discussed possible future research directions in this area and the lessons learned from this project.",
keywords = "AI, CNN, Computer Vision, Image processing, Machine learning, Pattern recognition, Sensor, Vehicle Safety, intelligent algorithms",
author = "Hongjun Su",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022 ; Conference date: 14-12-2022 Through 16-12-2022",
year = "2022",
doi = "10.1109/CSCI58124.2022.00272",
language = "English",
series = "Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1535--1538",
booktitle = "Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022",
address = "United States",
}