Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus increase post-mission search times for explosive ordnance disposal teams. This paper explores components of navigation inaccuracy using discrete event simulation to model the vehicle's navigation system and operational performance. The simulation generates data used, in turn, to build statistical models of the probability of detection, the mean location offset given that detection occurs, and the location error distribution. Together, these three models enable operators to explore the impact of various inputs prior to programming the vehicle, thus allowing them to choose combinations of vehicle parameters that reduce the offset error between the reported and actual locations.
Assessing Obstacle Location Accuracy in the Remus Unmanned Underwater Vehicle
2004
10 pages
Report
No indication
English
Marine Engineering , Navigation Systems , Ammunition, Explosives, & Pyrotechnics , Underwater navigation , Explosive ordnance disposal , Underwater vehicles , Unmanned , Models , Teams(Personnel) , Operational effectiveness , Statistical analysis , Mean , Naval vessels , Detection , Symposia , Simulation , Naval personnel , Remus unmanned underwater vehicle , Probability of detection , Statistical models
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