A Self-Adaptive Automatic Incident Detection System for Road Surveillance Based on Deep Learning

A Self-Adaptive Automatic Incident Detection System for Road Surveillance Based on Deep Learning

We present an automatic road incident detector characterised by a low computational complexity for easy implementation in affordable devices, automatic adaptability to changes in scenery and road conditions, and automatic detection of the most common incidents (vehicles with abnormal speed, pedestri...

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Bibliographic Details
Main Authors: César Bartolomé-Hornillos, Luis M. San-José-Revuelta, Javier M. Aguiar-Pérez, Carlos García-Serrada, Eduardo Vara-Pazos, Pablo Casaseca-de-la-Higuera
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
automatic incident detection
smart roads
road incidents
deep learning
self-adaptivity
video surveillance
Online Access:https://www.mdpi.com/1424-8220/24/6/1822

Internet

https://www.mdpi.com/1424-8220/24/6/1822

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