机器人的大脑将传感器收集的所有信息组合起来并更新它的环境地图。
The robot's brain fuses all the information gathered by its sensors and updates the map of its world.
然后，机器人利用自身位姿及对目标的观测来构建环境地图。
Then, the environmental map is built according to robot poses and its observations.
另外，因为外部环境总是在变化，所以很难让环境地图符合最新情况。
Also, keeping a world map up to date is hard because the external world is always changing.
进一步从制图综合基本问题出发，阐述了移动环境地图自动综合的概念。
Then we elaborated the concept of map generalization in mobile environment from the point of the fundamental problems in map generalization.
然后牠们对目标物作出快速准确的抉择，并且利用这些信息来建立环境地图。
They then make rapid accurate decisions about objects, and use this information to build environmental maps.
第一部分内容是环境地图构建，包括室内环境地图构建和室外环境地图构建。
The first subject of this dissertation is focused on environment map building for indoor environment and outdoor environment.
该文综述了其在绘制危险环境地图以及建立疾病预警系统方面的应用以及面临的问题。
This article summarizes the implement in the mapping diseases risk environments and establishing the early warning systems and the challenge.
结合上述匹配算法，给出了一种基于激光测距仪的移动机器人环境地图实时创建方法。
A method of map building based on laser scans using the matching method above was presented for mobile robots.
本文主要针对虚拟人路径规划技术涉及到的环境地图建模方法和路径规划算法进行了研究与探讨。
Path planning in a virtual environment requires a model or representation of the environment known as environment map.
该方法使用从环境数据中提取出的特征点来完成两组激光数据点集的匹配，进而完成环境地图的创建。
The map building method matched two consecutive scans according to the feature points extracted from the scans and then completed the whole map building.
利用超声发射信号模型，并使用d - S证据理论对环境地图进行更新，从而实现了基于超声的栅格地图创建。
In order to realize the map building based on ultrasonic, a transmitting signal model is established and the D-S theory is used for updating the environment map.
对于室外道路环境地图构建，首先提出了一个基于统计密度的障碍检测算法，用于道路环境和越野环境下的障碍检测。
To build outdoor environment map, an approach based stochastic density is proposed for obstacle detection on the road and crosscountry.
因此，设计合理的导航算法，从而使机器人在较短的时间内能够较完整地构建出环境地图，为机器人完成作业提供了基础。
Navigation algorithms for robots to map the environment completely in short time play a very important role in the robotic task.
因此，设计合理的导航算法，从而使机器人在较短的时间内能够较完整地构建出环境地图，为机器人完成作业提供了基础。
Navigation algorithms for robots to map the environment completely in short time play a very important role in the robotic task.
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