EADD: An Intelligent Edge-Based Anomaly Detection Platform for Car Driving
Part Of
IEEE International Conference on Communications
Start Page
5208
End Page
5213
ISBN (of the container)
978-172819054-9
Date Issued
2024-06-09
Author(s)
Abstract
Detecting abnormal driving behavior is crucial for preventing traffic accidents, as they are responsible for a sig-nificant majority of incidents. However, existing methods for detection often come with high costs or execution restrictions. In this paper, we introduce EADD, an Edge-based Anomaly Detection platform for Driving behavior. EADD overcomes these limitations by detecting abnormal driving behavior without the need for additional sensors or restrictions. Additionally, EADD boasts low computational requirements and enables real-time detection on mobile devices like the Raspberry Pi 3 Model B.
Event(s)
ICC 2024 - IEEE International Conference on Communications
Publisher
IEEE
Type
conference paper