Ahmed, Faisal
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Publication Access status: Open Access , ATHENA Research BookThe ATHENA European University is an alliance of nine Higher Education Institutions with the mission of fostering excellence in research and innovation by facilitating international cooperation. The ATHENA acronym stands for Advanced Technologies in Higher Education Alliance. The partner institutions are from France, Germany, Greece, Italy, Lithuania, Portugal, and Slovenia: the University of Orléans, the University of Siegen, the Hellenic Mediterranean University, the Niccolò Cusano University, the Vilnius Gediminas Technical University, the Polytechnic Institute of Porto, and the University of Maribor. In 2022 institutions from Poland and Spain joined the alliance: the Maria Curie-Skłodowska University and the University of Vigo. This research book presents a selection of the ATHENA university partners' research activities. It incorporates peer-reviewed original articles, reprints and student contributions. The ATHENA Research Book provides a platform that promotes joint and interdisciplinary research projects of both advanced and early-career researchers.Source Type:Book1 404 - Some of the metrics are blocked by yourconsent settings
Publication Access status: Metadata only , Kalman Filter-Driven Blind Source Localization for Passive 3D ToF Imaging(2023); ; Passive 3D Time-of-Flight (ToF) imaging faces a significant challenge in accurate depth recovery, where the source position is unavailable. In this letter, we present a probabilistic approach based on the Kalman filter which keeps track of source location, thus, avoiding the need for an initial guess to jointly determine the 3D source position and correct depth information. The proposed approach is able to reach a source location error of 0.8 cm by exploiting pseudo-measurements of the plane fitting constraint acquired by a passive ToF camera which exploits a bistatic algorithm with a gradient descent method. Computer experiments are carried out to demonstrate the robustness of the proposed method in realistic scenarios where no initial guess is available. The results show the feasibility of blind source localization with mm accuracy. This contributes to widening the applicability of passive 3D imaging in a number of application fields, such as autonomous driving, and robot navigation.Source Type:Article4