【摘要】 为解决灾后受困人员的快速搜救和精确定位问题,提出了一种基于简易惯导/GPS组合导航和无线网络的多功能搜救机器人群的设计方案,将BP神经网络和遗传算法组成的混合算法与卡尔曼滤波相结合,应用到简易惯导/GPS组合导航系统中,并进行了样机研制。实验结果表明:在复杂环境下或室内,采用该方法可以有效提高组合导航系统的定位速度和精度以及解决快速搜索和精确定位问题。更多还原

【Abstract】 To concern with the quick searching and rescuing trapped personnel after the disaster,Then presents a original design scheme of multi-functional robot group,which is based on simple inertial navigation system /GPS integrated navigation system and wireless network.In this scheme,The BP neural network and genetic algorithm consisting of a hybrid algorithm combining with Kalman filtering consists the filtering algorithm.Finally,a prototype is developed.The experimental results demonstrate that using this method in a complex environment or indoor can improve the positioning speed and accuracy of the integrated navigation system quick searching and rescuing solve the problem of fast search and location effectively.更多还原