Navigation of underwater vehicles is a very demanding task, especially in confined environments. The risk of damage, expense and sometimes danger of recovering a vehicle makes improving the system's awareness of its environment a research priority. We propose here a novel approach for underwater navigation systems that combines data fusion from a variety of conventional on-board sensors (such as heading, depth, tilt, short-baseline sonar positioning), with an active vision system to perform attentive landmark recognition using optical and sonar imagery. (6 pages)
Improving navigation using active landmark recognition
1996-01-01
1 pages
Aufsatz (Zeitschrift)
Englisch
on-board sensors , active vision system , computerised navigation , sensor fusion , underwater vehicles , underwater navigation systems , active landmark recognition , optical imagery , marine systems , attentive landmark recognition , sonar imagery , data fusion , object recognition , active vision
Object-oriented landmark recognition for UAV-navigation
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