中文摘要：

调查表明：人们有87%左右的时间都在室内空间中活动,例如办公楼、商场、地铁站等.随着物联网以及RFID、Wi-Fi等室内定位技术的快速发展,如何有效管理日益增长的室内移动对象数据,使其支持多样化的室内位置服务应用,已成为公共安全、商业服务等诸多领域都亟需解决的基础性共性问题.本文针对室内空间在空间约束、定位技术、距离度量等方面的特点,归纳了室内空间移动对象数据管理研究中的关键问题,指出了移动对象数据管理研究领域的主要进展,讨论了室内空间表示模型、室内移动对象位置与轨迹模型、室内空间查询处理和室内移动对象索引等关键技术.在此基础上,对室内移动对象数据库的研究前景进行了展望.

英文摘要：

As a survey indicated, people spend around 87% of their time in indoor spaces, e. g. , office buildings, shopping mails, and metro stations. With the rapid development of the Internet of Things （IoT） and indoor positioning technologies such as RFID and Wi-Fi, how to effectively manage the rapidly increasing indoor moving objects has been a common and fundamental issue in a lot of application areas including public security and business services. Based on the special features of indoor space regarding space constraint, positioning techniques, and distance measure- ment, in this paper we summarize the key issues in indoor moving-object databases as well as the recent advances in this area. In particular, we mainly discuss the representation models for indoor spaces, the location and trajectory models for indoor moving objects, the index structures for indoor spaces and indoor moving objects, and the query processing methods for indoor moving objects. Finally, we present some future research topics in indoor moving-object data management.