Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion

Authors

  • Meifang Han

DOI:

https://doi.org/10.3991/ijoe.v14i06.8696

Keywords:

Multi sensor data fusion, artificial intelligence, obstacle avoidance navigation algorithm

Abstract


Aiming at solving the navigation and obstacle avoidance of the unmanned vehicle,the multi sensor data fusion technology and unmanned vehicle obstacle avoidance navigation algorithm were studied profoundly. According to the requirements of the application of unmanned vehicle navigation and obstacle avoidance system, multisensor data fusion technology was applied to unmanned vehicle navigation and obstacle avoidance control system. In addition, A*VFF navigation and obstacle avoidance algorithm based on fuzzy neural network was improved. Finally, through the construction of the simulation platform, simulation experiment of the unmanned vehicle obstacle avoidance navigation was completed, and a better route was planned for unmanned vehicle in a more complex environment. The results showed that it realized the autonomous navigation of unmanned vehicle and obstacle avoidance function. Based on the above findings, it is concluded that the application of artificial intelligence detection system has good performance.

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Published

2018-06-22

How to Cite

Han, M. (2018). Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion. International Journal of Online and Biomedical Engineering (iJOE), 14(06), pp. 31–43. https://doi.org/10.3991/ijoe.v14i06.8696

Issue

Vol. 14 No. 06 (2018)

Section

Papers

License

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