A new data fusion method called obstacle group identification was proposed. This method is based on grid map created by using laser and ultrasonic sensors.
利用激光和超声波传感器在用栅格表示法形成地图的基础上，提出了进行数据融合以提取环境特征的新方法：识别障碍物群。
The local map is a grid-based 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.
通过声纳传感器实时地创建和修正地图，局部地图是基于栅格的概率模型：工作环境被划分成栅格，每一个栅格赋一个值，标识栅格中有障碍物的概率。
This paper studied the coverage for the robot with contact sensors, and proposed the internal spiral coverage (ISC) algorithm based on grid-map.
研究了基于接触传感器的机器人覆盖问题，提出了基于栅格地图的内螺旋覆盖(isc)算法。
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。
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。
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