Deep Learning assisted Visible Light Communication based Intelligent Transport System
- Resource Type
- Conference
- Authors
- Xiang, Qinghua; Li, Yingxiu; Huang, Wenting; Ye, Wenxuan; Shen, Jianhua
- Source
- 2019 18th International Conference on Optical Communications and Networks (ICOCN) Optical Communications and Networks (ICOCN), 2019 18th International Conference on. :1-3 Aug, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Deep learning
Visible light communication
Cameras
Unmanned vehicles
Feature extraction
Roads
Convolution
Visible Light Communication
Intelligent Transport System
Deep Learning
Moving Control
Demo System
- Language
To reduce the incidence of traffic accidents, Visible Light Communication (VLC) based Intelligent Transport System (ITS) has been widely accepted as a promising solution. The Deep Learning technology can be utilized to help VLC based ITS applications both for vehicles and infrastructures. This paper proposes a deep learning assisted VLC unmanned vehicles which can automatically capture and identify different traffic signs. Then deep learning algorithm will be implemented and control the unmanned vehicle performing corresponding motion operations. Theoretical analysis and demo system are provided to verify the proposed scheme.