给出了基于两步递推滤波的车辆自主式导航系统模型及其航位递推算法。
The model of vehicular autonomic navigation system and dead reckoning (DR) algorithm based on two-step recursive filtering are proposed in this paper.
环境建模技术是自主式移动机器人导航研究中的一个重要环节。
Environmental modeling technology is an important research process in the! Navigation study of the autonomous mobile robot.
目前，绝大部分自主式移动机器人的导航系统都是以计算机为控制核心、以视觉传感器为主要导航工具实现的，这样就使得整个系统实现的复杂程度和费用很高。
At the present day, most of navigation systems of autonomous mobile robots are controlled by computer and the main navigation tools are optical sensors and so it is very complex and the cost is high.
最后还提出了自主式车载导航系统的嵌入式设计方案以及被动式导航的改进方案。
At last, the paper puts forward embedded system version of car-carried automatic navigation system and an improved version of passive navigation system.
视觉导航是自主式移动机器人智能导航的研究热点，但是视觉导航所需的图像计算量很大，导致系统延迟。
Vision navigation is a hot topic at present, but image processing which need large amounts of computation will lead to system delay.
确定了适合自主车辆长时间、高精度导航要求的松散式、间接反馈校正的SINS/GPS组合导航方案。
The SINS/GPS integrated navigation scheme with loose mode and indirect feedback correction is ascertained to satisfy the requirements of the autonomous vehicle's long-time and accurate navigation.
确定了适合自主车辆长时间、高精度导航要求的松散式、间接反馈校正的SINS/GPS组合导航方案。
The SINS/GPS integrated navigation scheme with loose mode and indirect feedback correction is ascertained to satisfy the requirements of the autonomous vehicle's long-time and accurate navigation.
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