A method of map building based on laser scans using the matching method above was presented for mobile robots.
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。
So, research on environment modelling of mobile robots, usually named map building, receives more and more attention.
因此移动机器人的自主环境构建(通常称为地图创建)问题越来越受到各国研究者的重视。
Pose estimation is a key issue in mobile robots and important to moving objects tracking, robot navigation, map building, etc.
位姿估计是移动机器人研究中的一个关键问题，对于运动目标跟踪、机器人导航、地图生成等具有重要意义。
Laser range finder has been widely used in map building, locating and tracking in Robotics.
激光雷达已被广泛应用于移动机器人地图构建、定位以及跟踪等任务。
Self-localization navigation and map building is two crucial problems in the research of mobile robots.
自定位导航和地图创建是移动机器人研究的两个重要课题。
The first subject of this dissertation is focused on environment map building for indoor environment and outdoor environment.
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。
A local map building method based on laser data adaptive curvature estimation is presented for mobile robot in unknown structured environment.
针对未知环境中机器人局部地图的构建问题，提出一种激光测距的离散数据自适应曲率估计算法。
The map building method matched two consecutive scans according to the feature points extracted from the scans and then completed the whole map building.
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。
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.
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。
Finally, the main problems of localization system and map building for autonomous mobile robot and solutions to them are analyzed, and the future trend in this field is pointed out too.
最后，论述了自主式移动机器人定位系统与地图构造中所面临的主要问题及其解决方法并指出了该领域今后的研究方向。
The map building of grid-based is probabilistic model: the work environment is decomposed into grids and every grid takes up a value, which indicates the probability of an obstacle in grids.
基于栅格的地图创建是概率模型：工作环境被划分成栅格，每一个栅格赋一个值，标志栅格中有障碍物的概率。
Map building process is the basis for an autonomous mobile robot to execute various works.
地图创建过程是自主智能移动机器人执行各种任务的基础之一。
Normal Distributions Transform (NDT) is used in scan-matching based SLAM, and map-building is implemented in larger scale indoor environment by home service robots.
将正态分布变换(NDT)应用于基于扫描匹配的SLAM中，实现了家庭服务机器人较大规模室内环境下的建图。
Normal Distributions Transform (NDT) is used in scan-matching based SLAM, and map-building is implemented in larger scale indoor environment by home service robots.
将正态分布变换(NDT)应用于基于扫描匹配的SLAM中，实现了家庭服务机器人较大规模室内环境下的建图。
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