面向ORNL移动机器人的智能集成传感器系统

R. Mann, J. Jones, M. Beckerman, C. Glover, L. Farkas, J. Han, E. Wacholder, J. Einstein
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引用次数: 2

摘要

由橡树岭国家实验室(ORNL)工程系统高级研究中心(CESAR)开发的移动机器人原型配备了声纳传感器和CCD相机,用于在先验未知和非结构化动态环境中支持自主导航和简单检查任务。目前正在建造的移动机器人HERMIES III的传感器套件中增加了一个激光测距相机。作者总结了从这些传感器收集的数据中提取信息并将其整合的工作,以产生对机器人环境的可靠描述。具体来说,他们描述了二维视觉和声纳距离信息的集成。集成方法基于多传感器集成框架,该框架由多个分布式世界模型和它们之间的适当映射组成。所有操作都是在移动机器人上使用16处理器的超立方体计算机进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An intelligent integrated sensor system for the ORNL mobile robot
The mobile robot prototypes developed at the Oak Ridge National Laboratory (ORNL) Center for Engineering Systems Advanced Research (CESAR) are equipped with sonar sensors and CCD cameras that are used to support autonomous navigation and simple inspection tasks in an a priori unknown and unstructured dynamic environment. A laser range camera is being added to the sensor suite of HERMIES III, a mobile robot that is currently being built. The authors summarize work directed at extracting information from data collected with these sensors and integrating it, in order to produce reliable descriptions of the robot's environment. Specifically, they describe the integration of two-dimensional vision and sonar range information. The integration methodology is based on a framework for multisensor integration that consists of multiple, distributed world models and appropriate mappings among them. All operations are carried out onboard the mobile robot using a 16-processor hypercube computer.<>
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