Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
Dynamic objects appearing on the road without notice can cause serious accidents. However, the detection ranges of roadside unit and CCTV that collect current road information are very limited. Moreover, there are a lack of systems for managing the collected information. In this study, a dynamic map...
Enregistré dans:
Auteurs principaux: | Sooyeon Shin, Jungseok Kim, Changjoo Moon |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c99f644d4eea4b74a7f9851fe02b244d |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
An Analytical Survey of WSNs Integration with Cloud and Fog Computing
par: Qaisar Shaheen, et autres
Publié: (2021) -
Ejemplos de Aplicabilidad de Giraph y Hadoop para el Procesamiento de Grandes Grafos
par: Valenzuela,Sebastián A, et autres
Publié: (2016) -
Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring
par: Elhoussin Elbouchikhi, et autres
Publié: (2021) -
A Map of the Poor or a Poor Map?
par: Paul Corral, et autres
Publié: (2021) -
Hexagonal Grid-Based Framework for Mobile Robot Navigation
par: Piotr Duszak, et autres
Publié: (2021)