RR:MACNet: Mobile Ad-hoc Camera Networks

该项目开发了一个实验测试平台，用于摄像机和麦克风移动网络的控制和传感的不同方面，设想了一个摄像机系统，MACNet，在三维空间中移动，从而实现移动自组织摄像机网络。该试验台的开发为以下跨学科项目提供了实验基础设施：老年保健监测、评估和评估、残疾人辅助技术、数字人类学和协调空中和地面机器人的视觉伺服。在第一个项目中，MACNet摄像机将用于跟踪患者和显著的动态特征。在第二个项目中，MACNet将模拟智能家居和博物馆，配备主动摄像头，向智能轮椅提供反馈，并提供有关目标区域的信息。MACNet将允许获取和分析视频数据集，以便在3rdProject中进行三维重建和存档；在最后一个项目中，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跟踪、定位和协调现有的地面自动驾驶车辆，并应用于监视和监控国土安全。最后，MACNet将被用作分布式主动视觉研究的测试平台，这是一个将所有研究人员聚集在一起的主题。更广泛的影响：研究结果将直接适用于通信、控制和传感相结合的大量问题，以及智能家居、辅助生活社区和国土安全监视和监控方面的应用。这种相互影响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。该实验室将供学生使用，各院校将利用现有的教师和学生共同参与的外展项目，如女生机器人和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.