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

这项研究建立在空间数据基础设施，众包和测绘系统的研究人员的经验，以解决发达国家的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，还将改进技术并发明所需的流程，以快速但常规地收集所需的数据，以创建主要零售和机构设施内部的准确和全面的3D表示-然后保持最新。 ** 通过开发和测试快速室内测绘系统的组成部分，这项研究的结果可以被新一代的测绘专业人员采用，他们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。 这将导致新的移动的服务，其将使两个消费者都受益（例如，接收建筑物内特定产品的方向，或如果您有视力障碍，则提供室内导航帮助）和设施所有者（仅在需要时部署资源，从而增强产品布局并提高客户满意度）。** 本文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程和数据管理流程;（2）确定大型商业和机构设置中室内特征及其属性的快速自主3D映射所涉及的机构问题。 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，这些流程将合并从无人驾驶系统主动收集的数据以及在室内环境中操作的人和物体的被动贡献。 本研究的长期目标是研究和演示如何-采用基于云的移动的服务和专业供应商和社交网络的贡献-个人可以创建，维护和使用自己的个人空间数据基础设施，以空间使他们的日常活动和transactionally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. ********