Developing and Testing Multi-Channel Prototypes for Indoor Mapping in Personal Spatial Data Infrastructures

这项研究以研究人员在空间数据基础设施、众包和测绘系统方面的经验为基础，以解决发达国家下一个重要的测绘前沿——室内。这项工作不仅仅是创建电子平面图，还将改进技术和发明所需的流程，以便快速而常规地收集所需的数据，以创建准确而全面的主要零售和机构设施内部的3D表示，然后使它们保持最新状态。**通过开发和测试快速室内测绘系统的组件，这项研究的结果可以被新一代的测绘专业人员使用，这些专业人员可以在室内设施中进行大量的初始数据收集和持续的（可能是众包的）更新工作。这将产生新的移动服务，这将有利于消费者（例如，接收建筑物内特定产品的指示，或如果您有视力障碍，则提供室内导航辅助）和设施所有者（通过仅在需要的地方和时间部署资源，增强产品植入和提高客户满意度）。**此处提出的短期研究目标将集中于开发关键系统组件，这些组件将：(1)允许正式定义生产工作流和数据管理流程；(2)确定大型商业和机构环境中室内特征及其属性的快速自主3D映射所涉及的制度问题。研究团队成员将开发基于标准的组件、生产工作流程和测试流程，这些组件将合并来自无人系统的主动收集数据和来自室内环境中操作的人员和物体的被动贡献。**本研究的长期目标是检验和证明——利用基于云的移动服务和专业供应商和社交网络的贡献——个人如何创建、维护和使用他们自己的个人空间数据基础设施，以在空间上支持他们的日常活动，并在事务上更新和升级驱动这些服务的数据库。* * * * * * * *

This research builds on the experience of the researcher in spatial data infrastructure, crowdsourcing and mapping systems to address the developed world's next important mapping frontier - the indoors. So much more than just the creation of electronic floorplans, this work will refine the technologies and invent the processes required to rapidly but routinely collect the data required to create accurate and comprehensive 3D representations of the inside of major retail and institutional facilities - and then keep them up to date. ** By developing and testing the components of rapid indoor mapping systems, the results of this research can be employed by a new generation of mapping professionals undertaking the massive initial data collection and ongoing (potentially crowdsourced) updating efforts in indoor facilities. This will result in new mobile services that will benefit both consumers (e.g., receiving directions to specific products inside a building, or indoor navigation assistance if you are visually impaired) and facility owners (enhanced product placement and better customer satisfaction by deploying resources only where & when required).** The short-term objectives of research proposed here will focus on developing key system components which will: (1) allow the formal definition of the production workflow and data management processes; and (2) identify the institutional issues involved in the rapid autonomous 3D mapping of indoor features and their attributes in large commercial and institutional settings. Research team members will develop standards-based components, production workflows, and test processes which will merge actively-collected data from unmanned systems and passive contributions from people & objects operating in an indoor environment.** The longer term goal of this research is to examine and demonstrate how - employing cloud-based mobile services and contributions from specialty suppliers and social networks - individuals may create, maintain and employ their own personal spatial data infrastructures to spatially enable their daily activities and transactionally update and upgrade the databases driving these services. ********