SST: Networks of Mobile Sensors in Human Environments

这个项目将发展自主移动的感觉平台网络的基本理论、算法和实验演示。 移动的传感器单元使得传感器网络能够瞬时地关注可能感兴趣或重要的事件或位置，同时保持对整个环境的感知。 特别关注移动的感觉运动平台在人类环境中运行并与人类操作员交互的任务。 理论和算法的考虑包括：（1）使用移动性来提高网络性能;（2）促进传感器网络和人类之间的交互;（3）提高网络检测学习类别或事件的能力。 新的无监督学习方法将成为对象和事件检测的基础。 我们将在加州理工学院的多车辆无线测试台（MVWT）上演示我们的方法。MVWT是加州理工学院的一个实验测试台，由风扇驱动和轮式车辆组成，在一个共同的环境中运行，并配备了各种传感器和通信方案。这是传感器计划NSF 04-522支持的一个项目。

Abstract0428075Joel BurdickCaltechThis project will develop basic theory, algorithms, and experimental demonstrations of networks of autonomous mobile sensory platforms. Mobile sensor units enable a sensor network to transiently focus on events or locations that might be interesting or important while at the same time maintaining awareness of the overall environment. Particular focus on tasks where mobile sensory-motor platforms operate in human environments and interact with human operators. The consideration for theory and algorithms include: (1) use mobility to improve network performance; (2) facilitate the interaction between sensor networks and humans; and (3) improve the ability of networks to detect learned categories or events. New unsupervised learning methods will form the basis for object and event detection. We will demonstrate our methods on the Caltech Multi-Vehicle Wireless Testbed (MVWT), an experimental testbed at Caltech consisting of fan-driven and wheeled vehicles operating in a common environment endowed with a variety of sensors and communication schemes.This is a project supported under the Sensors Initiative NSF 04-522.