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ROBOT-MOTION IN UNSTRUCTURED ENVIRONMENT

机译:非结构化环境中的机器人运动

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To operate an autonomous Vehicle in off-road terrain is one of the most difficult problems in Robotic. Since it is not possible to build a high resolution model of an unstructured terrain, in particular of a battlefield, a robot driving through this terrain has to be able to adapt its motion to the real world. In the German experimental program "Robotic for the Battlefield" therefore a key function is real time obstacle detection and avoidance. In conjunction with a gyro-system and an optical tracker this function ensures a cross-country driving on a pre-planned path by surveying the real world. Using an active (time-of-flight) laser-scanner a 3d-image, consisting of 128 x 64 Voxels, is generated once a second and real-time transformed into a 2d-obstaclemap. This map is used by the Navigation-computer to avoid obstacles while following the given path as close as possible. A prototype of this system has been tested under real conditions in field-tests already.
机译:在越野地形中操作自主车辆是机器人最困难的问题之一。由于不可能建立一个非结构化地形的高分辨率模型,特别是在战场上,通过这种地形驾驶的机器人必须能够使其运动适应现实世界。在德国实验计划“战场机器人”中,因此关键功能是实时障碍物检测和避免。结合陀螺系统和光学跟踪器,该功能通过测量现实世界来确保在预先计划的路径上越野驾驶。使用Active(飞行时间)激光扫描仪A 3D图像,由128 x 64体素组成,一秒和实时变换成2D-acckeClemap。该地图由导航计算机使用,以避免障碍,同时遵循给定路径尽可能接近。该系统的原型已经在现场测试中的实际条件下进行了测试。

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