As a proof of concept, a prototype system was designed and implemented to test real time data collection and navigation through the interface by detection and classification of event-related potentials (ERPs).
Data collection on the chimpanzees' navigation was carried out between February 2005 and July 2007.
Data collection included pre-and post-navigation surveys, intake forms, and documentation of navigation encounters.
Together with 4D (3D + time) point clouds, BIM definitely has potential to minimize many technical challenges facing fully autonomous navigation and data collection for the built environment.
Recent studies (Fernandez Galarreta et al. 2015; Kerle 2999; Zollmann et al. 2014) and commercial systems (DJI 2015) provide autonomous navigation and data collection capabilities using GPS waypoints and pre-determined flight path.
UASNs are poised to enable a wide range of underwater-specific applications such as oceanographic data collection, pollution monitoring, disaster prevention, assisted navigation, marine surveillance, etc. [1].
Underwater sensor networks find applications in oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, and tactical surveillance.
