RR:MACNet: Mobile Ad-hoc Camera Networks

这个项目，开发一个实验测试平台的控制和传感的摄像头和麦克风的移动的网络的不同方面的工作，设想一个系统的摄像头，MACNet，在三维移动，使一个移动的Ad Hoc摄像头网络。该试验台的开发为以下跨学科项目提供了实验基础设施：老年医疗保健的监测，评估和评估，残疾人辅助技术，数字人类学，以及协调空中和地面机器人的视觉伺服。MACNet摄像机将用于跟踪患者和第一个项目的显著动态特征。MACNet将模拟智能家居和博物馆，并通过主动摄像头向智能轮椅提供反馈，并提供有关第二个项目目标区域的信息。MACNet将允许获取和分析视频数据集，以便在第三个项目中进行三维重建和存档;对于最后一个项目，MACNet将提供带有摄像头的动态平台，这些摄像头将模拟飞行器来跟踪，定位和协调现有的地面自动驾驶车辆，并应用于国土安全的监视和监控。最后，MACNet将被用作分布式主动视觉研究的试验平台，这一主题将汇集所有研究人员。更广泛的影响：结果将直接适用于一大类问题，其中通信，控制和传感耦合，并应用于智能家居，辅助生活社区，以及国土安全的监视和监控。这种相互交流将有助于培养学生更广阔的视野和潜在的解决问题的新方法。该实验室将由学生使用，各机构将利用教师和学生都参与的现有外联项目，如女孩机器人和PRIME。

This project, developing an experimental testbed to work on different aspects of control and sensing for mobile networks of cameras and microphones, envisions a system of cameras, MACNet, moving in three dimensions enabling a Mobile Ad Hoc Camera Network. The development of this testbed provides the experimental infrastructure for the following interdisciplinary projects: Monitoring, Evaluation, and Assessment for Geriatric Health Care, Assistive Technology for People with Disabilities, Digital Anthropology, and Visual Servoing for Coordinating Aerial and Ground Robots.MACNet cameras will be used to track patients and salient dynamic features for the 1st project. MACNet will simulate intelligent homes and museums with active cameras providing feedback to smart wheelchairs and providing information about target areas in the 2nd Project. MACNet will allow datasets of video to be acquired and analyzed for three-dimensional reconstruction and archiving in the 3rdProject; and for the last project, MACNet will provide dynamic platforms with cameras which will simulate aerial vehicles to track, localize, and coordinate with existing ground based autonomous vehicles with applications to surveillance and monitoring for homeland security. Finally, MACNet will be used as a testbed for research on distributed active vision, a theme that will bring together all researchers.Broader Impact: The results will be directly applicable to a large class of problems in which communication, control, and sensing are coupled, with applications in smart homes, communities for assistive living, and surveillance and monitoring of homeland security. This cross-fertilization will contribute to train students with broader perspectives and potential new approaches to problem solving. The lab will be used by students and the institutions will leverage existing outreach programs in which both faculty and students participate, such as Robotics for Girls and PRIME.