首页> 外文会议>Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on >Planning mobile sensor net deployment for navigationally-challenged sensor nodes
【24h】

Planning mobile sensor net deployment for navigationally-challenged sensor nodes

机译:规划受导航挑战的传感器节点的移动传感器网络部署

获取原文

摘要

This wok describes novel algorithms for planning the deployment of a large number of navigationally-challenged mobile sensor nodes in known indoor environments. Due to cost and power constraints, our mobile sensor nodes have the ability to move and communicate, but they cannot detect or avoid obstacles or localize to the environment. Additionally, they have only minimal capabilities for detecting other robot team members, through the use of a crude camera. Our deployment process, therefore, uses an assistive navigation technique that enables a more capable leader robot, equipped with a laser rangefinder and a camera, to guide several mobile sensor nodes to their deployment positions. To ensure the successful deployment of the mobile sensor nodes, we have developed an autonomous planning process that plans the positions of the sensor nodes based upon a number of constraints, including maintaining line of sight maximizing visibility coverage, avoiding placement in doorways, minimizing obstruction of corridors, and so forth. Additionally, because of the navigational constraints of simple robots following a leader to these deployment positions, our algorithm also derives two leader waypoints for each sensor position, which on strain the motion of the leader path to the deployment position. These leader
机译:该炒锅描述了用于计划在已知的室内环境中部署大量受导航挑战的移动传感器节点的新颖算法。由于成本和功率的限制,我们的移动传感器节点具有移动和通信的能力,但是它们无法检测或避免障碍物或位于环境中。此外,通过使用原始相机,它们仅具有最低的检测其他机器人团队成员的能力。因此,我们的部署过程使用辅助导航技术,该技术使功能更强大的领导者机器人(配备激光测距仪和摄像头)能够将多个移动传感器节点引导到它们的部署位置。为了确保成功部署移动传感器节点,我们开发了一种自主计划流程,该流程会根据许多约束条件来计划传感器节点的位置,包括保持视线最大化,可见性覆盖范围,避免在门口放置,最大程度地减少对障碍物的遮挡。走廊等等。另外,由于简单机器人在引导者跟随这些部署位置后的导航约束,我们的算法还为每个传感器位置导出了两个引导者航路点,这会导致引导者路径向部署位置的运动产生压力。这些领袖

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号