多传感器信息融合技术在无人平台避障中的应用

Application of Multi-Sensor Information Fusion Technology in Unmanned Platform Obstacle Avoidance

为获得可靠准确的环境信息,采用多传感器信息融合技术。介绍无人平台避障系统组成、避障信息处理和避障控制模型及策略,通过对超声波传感器、红外传感器等多种传感器的数据融合,研究多传感器信息融合技术在无人平台自主避障行为中的应用。实验结果表明,该技术可以实现无人平台准确、快速避开障碍物,为无人平台在各种复杂的、动态的、不确定或未知的环境中工作提供了一种技术解决途径。

In order to obtain reliable and accurate environment information, adopt multi-sensor information fusion technology. Introduce the unmanned platform obstacle avoidance system composition, obstacle avoidance information processing and obstacle avoidance control model and strategy. Through data fusion for ultrasonic sensor, infrared sensor and other sensors, research on application of multi-sensor information fusion technology in unmanned platform automatic obstacle avoidance. The test result shows that the technology can achieve unmanned platform accurately, avoid obstacles in high speed. It provides a technology for unmanned platform working in intricate, dynamic, uncertain or unknown environment.