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.
其功能包括战术数据链路显示、便携式任务规划、数字化移动地图、气象图片、航空电子图标以及传感器成像。
TacView functions include tactical data link display, portable mission planning, digital moving map, weather imagery, electronic aeronautical charts and sensor imaging.
但是传统意义上来讲，要制作那样的地图所需要的传感器不是体积大、价格贵就是虽便宜但精确度太低。
But the sensors required to build that map have traditionally been either expensive and bulky or cheap and inaccurate.
它还装备位置和环境传感器，可以建立城市范围的空气质量地图。
It also houses location and environmental sensors that will help build up city-wide air quality maps which other cyclists can use to plan their journey.
提出一种利用传感器网络精细电子地图定位建立信息安全边界的方法。
This paper proposes a fine-grained radio-map localization based information security boundary in sensor network.
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。
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.
与此同时，从巷道传感器收集的数据通常用于网上交通地图进行分析，确定条件，通常会导致麻烦。
Meanwhile, data collected from roadway sensors commonly used for online traffic maps is analyzed to determine conditions that usually lead to trouble.
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。
This paper studied the coverage for the robot with contact sensors, and proposed the internal spiral coverage (ISC) algorithm based on grid-map.
与运动传感器，照相机，激光和红外线系统，机器人能够通过环境绘制路径或创建2d地图。
With motion sensors, cameras, a laser and infrared system, the robot is able to plot paths through an environment or create a 2d map.
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。
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.
在这个过程中，机器人没有外部环境先验知识的帮助，地图建模与定位都依赖于自身的传感器。
In this process, the robot has no help of prior knowledge of the environment, and achieving localization and mapping with its onboard sensors.
目前获取DEM的主要方式有：地面测量方法、现有地图数字化法、基于空间传感器法及数字摄影测量法。
At present, the main ways to obtain DEM are: ground measurements method, the paper map digitization method, space-sensors based methods and digital photographic methods.
目前获取DEM的主要方式有：地面测量方法、现有地图数字化法、基于空间传感器法及数字摄影测量法。
At present, the main ways to obtain DEM are: ground measurements method, the paper map digitization method, space-sensors based methods and digital photographic methods.
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