作者: Ryan N Smitha , Jnaneshwar Dasa , Hörður Heiðarssona , Arvind M Pereiraa Filippo Arrichielloe Ivona , Lindsay Darjanyc Cetinićb
DOI:
关键词:
摘要: More than 75% of our earth is covered by water, yet we have explored less than 5% of the aquatic environment. Aquatic robots, such as Autonomous Underwater Vehicles (AUVs), and their supporting infrastructure play a major role in the collection of oceanographic data (eg,[6],[10] and [21]). To make new discoveries and improve our overall understanding of the ocean, scientists must make use of these platforms by implementing effective monitoring and sampling techniques to study ocean upwelling, tidal mixing or other ocean processes. Effective observation and continual monitoring of a dynamic system as complex as the ocean cannot be done with one instrument in a fixed location. A collection of static and mobile sensors must be deployed, and the information gleaned from the acquired data must be