Unmanned vehicles scheduling system with data fusion technology
| Autor: | Xu Kai, Li Hui Yan, Zhu Guo Song |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Computer science Real-time computing Mode (statistics) ComputerApplications_COMPUTERSINOTHERSYSTEMS Scheduling system computer.software_genre Sensor fusion Range (aeronautics) Vehicle routing problem Motion planning computer computer.programming_language Data integration |
| Zdroj: | 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). |
| Popis: | Unmanned transportation mode can save a lot of human resources and economic costs. It has a wide range of application scenarios and good development prospects. In this paper, we design an unmanned vehicles scheduling system that combines data fusion technology in order to realize unmanned transportation mode. We also optimize the vehicle routing algorithm to improve the efficiency of unmanned transportation. The system will synthesize speed, economy, safety to generate the optimal transportation scheme. We evaluate the real-time performance of the system, and the results meet the requirements of data fusion transmitted by multiple information sources. |
| Databáze: | OpenAIRE |
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