2014
DOI: 10.5772/58581
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A Validation Process for Underwater Localization Algorithms

Abstract: This paper describes the validation process of a localization algorithm for underwater vehicles. In order to develop new localization algorithms, it is essential to characterize them with regard to their accuracy, long-term stability and robustness to external sources of noise. This is only possible if a gold-standard reference localization (GSRL) is available against which any new localization algorithm (NLA) can be tested. This process requires a vehicle which carries all the required sensor and processing s… Show more

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Cited by 9 publications
(4 citation statements)
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“…Considering approaches focused on the development of control architectures for HROVs [20], it is worth mentioning projects HROV-Arch [41] and MERBOTS [42]. HROV-Arch targets a hybrid ROV system tailored for oceanographic research, particularly emphasizing operations under ice.…”
Section: From a Rov To A Hrovmentioning
confidence: 99%
“…Considering approaches focused on the development of control architectures for HROVs [20], it is worth mentioning projects HROV-Arch [41] and MERBOTS [42]. HROV-Arch targets a hybrid ROV system tailored for oceanographic research, particularly emphasizing operations under ice.…”
Section: From a Rov To A Hrovmentioning
confidence: 99%
“…In order to validate the measurements made by this visual approach to mapping and localization, the complete additional navigation instrumentation available (Long-Baseline-Localization (LBL), Doppler Velocity Log (DVL), Fiber-Optic Gyroscope (FOG)) allows a second independent measurement to be recorded. This second measurement can then be used as a ground-truth for judging the quality of the visually generated data [49]. Dagon is a hovering AUV; it does not rely on forward movement to keep its current depth.…”
Section: Temporal Coveragementioning
confidence: 99%
“…Numerous studies in the field of underwater robots have recently focused on SLAM [ 16 , 17 , 18 ], which might be the most potential approach to achieve completely autonomous underwater robot positioning and navigation. Combining different sensory data derived from disparate underwater sensing modalities is a robust way to accomplish different underwater application scenarios (for an overview see [ 19 ]), but due to the inhomogeneity of the water column, localization remains a major challenge for sub-sea operations [ 20 ]. Especially close range navigation tasks like sub-sea asset inspection and maintenance or docking maneuvers require sophisticated setups [ 21 ], tactical grade sensors [ 22 ] or even pre-installed infrastructure like long baseline (LBL) acoustic transponders.…”
Section: Introduction and Related Workmentioning
confidence: 99%