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USE OF LASER RANGEFINDER TO DETECTING IN SURROUNDINGS OF MOBILE ROBOT THE OBSTACLES

机译:使用激光测距仪在移动机器人周围的障碍物中检测

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Detecting obstacles and creating a map of surroundings are essential problems for navigation system of unmanned vehicles. Perception systems for autonomous navigation of unmanned ground vehicles (UGVs) must detect all manner of potential navigation hazards. Until quite recently, UGV perception research had focused largely on perception of 3-D terrain geometry with range sensors, perception of roads, and to a lesser degree on perceiving other traffic. Research effort is now growing on recognizing vegetation to improve the efficiency of off-road navigation. This paper describes both Laser Rangefinder (LR) used for monitoring the environment and mapping system for representing general obstacles (positive, negative and concealment). In addition to using information provided by LR sensor, we use information supplied by Global Positioning System (GPS) and Internal Navigation System.
机译:检测障碍物和创建周围地图是无人驾驶车辆导航系统的重要问题。无人机地面车辆自主导航的感知系统(UGV)必须检测各种潜在的导航危险。直到最近,UGV感知研究很大程度上侧重于与范围传感器,道路感知的3D地形几何形状的感知,以及对感知其他交通的较小程度。研究努力现在正在越来越彰显植被,以提高越野航行的效率。本文介绍了用于监控环境和映射系统的激光测距仪(LR),用于代表一般障碍(正,负面和隐藏)。除了使用LR传感器提供的信息外,我们还使用全球定位系统(GPS)和内部导航系统提供的信息。

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