This work presents a submerged object recognition method with fluorescence LIDAR that can be applied when no a priori information about environmental conditions is available. Whereas conventional methods require the availability of either LIDAR measurements of water samples or accurate knowledge about environmental conditions, the approach investigated here remove such assumptions. Experimental results on real data acquired in laboratory show the potential of the approach.

Recognizing Submerged Materials with Fluorescence Lidar without Knowledge of Environmental Conditions

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2019

Abstract

This work presents a submerged object recognition method with fluorescence LIDAR that can be applied when no a priori information about environmental conditions is available. Whereas conventional methods require the availability of either LIDAR measurements of water samples or accurate knowledge about environmental conditions, the approach investigated here remove such assumptions. Experimental results on real data acquired in laboratory show the potential of the approach.
2019
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
9781538691540
Fluorescence LIDAR
invariance
LIDAR simulation
target recognition
underwater material discriminability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/453919
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