首页> 外文会议>Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on >Line-of-sight task-space sensing for the localization of autonomous mobile devices
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Line-of-sight task-space sensing for the localization of autonomous mobile devices

机译:用于自主移动设备本地化的视线任务空间感测

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In this paper, a multi line-of-sight (LOS) task-space sensing methodology is presented for guidance-based localization of mobile devices (e.g., autonomous vehicles and robots). The mobility requirement of the localization/docking application dictates the minimum number and the type (planar or spatial) of the lines of sight. It is envisioned that, a multi-LOS sensing system will be configured for the task at hand using several, one or two degree-of-freedom (dof), sensing modules. One such module is also proposed in this paper: it comprises a laser source, a (1 or 2 dof) galvanometer mirror and a photodetector. A guidance algorithm would only be invoked at the final stages of vehicle/robotic-end-effector motion after the long-range positioning phase has failed to locate the vehicle at its desired pose (position and orientation). By utilizing a multi-LOS based sensing system the guidance algorithm would successfully minimize the systematic errors of the vehicle, while allowing it to converge to its desired pose within the random noise limits. This has been verified in both simulation and experiments, as presented herein.
机译:在本文中,提出了一种多视线(LOS)任务空间感测方法,用于基于指导的移动设备定位(例如,自动驾驶汽车和机器人)。定位/对接应用程序的移动性要求规定了视线的最小数量和类型(平面或空间)。可以预见,将使用几个,一个或两个自由度(dof)感应模块为手头任务配置多LOS感应系统。本文还提出了一种这样的模块:它包括一个激光源,一个(1或2自由度)振镜和一个光电探测器。只有在远程定位阶段未能将车辆定位在所需姿势(位置和方向)之后,才会在车辆/机器人末端执行器运动的最后阶段调用引导算法。通过利用基于多视距的传感系统,制导算法将成功地使车辆的系统误差最小化,同时允许其在随机噪声限制内收敛至所需姿态。如本文所述,这已经在仿真和实验中得到了验证。

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