GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network

GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network

To provide coordinate information for the use of intelligent transportation systems (ITSs) and autonomous vehicles (AVs), the global positioning system (GPS) is commonly used in vehicle localization as a cheap and easily accessible solution for global positioning. However, several factors contribute...

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Autores principales: Chia-Hung Lin, Yo-Hui Fang, Hsin-Yuan Chang, Yu-Chien Lin, Wei-Ho Chung, Shih-Chun Lin, Ta-Sung Lee
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Cooperative vehicle localization
data fusion
deep neural network (DNN)
graph convolution network (GCN)
long short-term memory (LSTM)
vehicle-to-vehicle (V2V)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/8de3aca762c8407ba6ee7676c4adb78f
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https://doaj.org/article/8de3aca762c8407ba6ee7676c4adb78f

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