Niccolò Monni

TL;DR: In this paper, an attitude estimation strategy for autonomous underwater vehicles (AUV) is proposed, which includes the identification of some critical issues that arise when AUV attitude estimation algorithms are applied in practice.

TL;DR: In this article, the authors have developed an innovative low-cost, multi-role autonomous underwater vehicle, called Tifone, for cooperative underwater exploration and surveillance involving the use of a swarm of vehicles.

TL;DR: In this paper, displacement measurements derived from Synthetic Aperture Radar (SAR) imagery were used to detect lava delta instability at Stromboli volcano (Italy) and demonstrated that the monitoring of lava deltas is a successful strategy by which to observe the longterm deformation of subaerial-submarine landslide systems on unstable volcanic flanks.

TL;DR: The FeelHippo autonomous underwater vehicles is described, the vehicle designed and built by the MDM Lab of the University of Florence; it is a low cost autonomous underwater Vehicles suitable for these purposes, and an onboard acoustic localization system, based on aLow cost approach, has been implemented and preliminary experimental results are here reported.

TL;DR: In this article, an attitude estimation method for AUVs is proposed based on a nonlinear complementary filter (NCF) to estimate the attitude of an AUV under unknown magnetic disturbances.