Managing Spatio-Temporal Data Streams on AUVs
Tobias Werner, Thomas Brinkhoff · 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV) · 2018
Autonomous underwater vehicles (AUV) are used in multiple domains for inspection, tracking and monitoring tasks. During such missions, a vehicle needs to process several kinds of data. Especially tasks that involve more than one vehicle generate multiple spatio-temporal data streams. In this paper we present a database extension for managing spatio-temporal data streams on AUVs. This extension provides a datatype for describing time-dependent geometries in multiple dimensions like trajectories of underwater vehicles. It provides a capabilities for executing continuous queries on streams. Three types of window operators are integrated in order to transform a stream into a conventional database table. An execution plan allows building a tree of several linked operators. Removing outdated data is supported.