Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Ali Tourani"'
1
Akademický článek
Vision-Based Situational Graphs Exploiting Fiducial Markers for the Integration of Semantic Entities
Autor: Ali Tourani, Hriday Bavle, Deniz Işınsu Avşar, Jose Luis Sanchez-Lopez, Rafael Munoz-Salinas, Holger Voos
Publikováno v: Robotics, Vol 13, Iss 7, p 106 (2024)
Situational Graphs (S-Graphs) merge geometric models of the environment generated by Simultaneous Localization and Mapping (SLAM) approaches with 3D scene graphs into a multi-layered jointly optimizable factor graph. As an advantage, S-Graphs not onl
Externí odkaz: https://doaj.org/article/7ecaf936326a4928b072dacc2f700873
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2
Akademický článek
Unclonable human-invisible machine vision markers leveraging the omnidirectional chiral Bragg diffraction of cholesteric spherical reflectors
Autor: Hakam Agha, Yong Geng, Xu Ma, Deniz Işınsu Avşar, Rijeesh Kizhakidathazhath, Yan-Song Zhang, Ali Tourani, Hriday Bavle, Jose-Luis Sanchez-Lopez, Holger Voos, Mathew Schwartz, Jan P. F. Lagerwall
Publikováno v: Light: Science & Applications, Vol 11, Iss 1, Pp 1-19 (2022)
Cholesteric Spherical Reflectors (CSRs) are omnidirectional retroreflectors that are selective in circular polarization and wavelength, enabling human-invisible fiducial markers for applications in robotics, augmented reality, anti-counterfeiting, ci
Externí odkaz: https://doaj.org/article/e43891ebd98e4aca8a6b663cf4f530fd
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3
Akademický článek
From SLAM to Situational Awareness: Challenges and Survey
Autor: Hriday Bavle, Jose Luis Sanchez-Lopez, Claudio Cimarelli, Ali Tourani, Holger Voos
Publikováno v: Sensors, Vol 23, Iss 10, p 4849 (2023)
The capability of a mobile robot to efficiently and safely perform complex missions is limited by its knowledge of the environment, namely the situation. Advanced reasoning, decision-making, and execution skills enable an intelligent agent to act aut
Externí odkaz: https://doaj.org/article/eeb9f35233b243dfac2edbe6826993d6
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4
Akademický článek
A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems
Autor: Ali Tourani, Asadollah Shahbahrami, Sajjad Soroori, Saeed Khazaee, Ching Yee Suen
Publikováno v: IEEE Access, Vol 8, Pp 201317-201330 (2020)
The process of detecting vehicles’ license plates, along with recognizing the characters inside them, has always been a challenging issue due to various conditions. These conditions include different weather and illumination, inevitable data acquis
Externí odkaz: https://doaj.org/article/ab500423333d41769aaed4b6bd7ba93f
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5
Akademický článek
Visual SLAM: What Are the Current Trends and What to Expect?
Autor: Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez, Holger Voos
Publikováno v: Sensors, Vol 22, Iss 23, p 9297 (2022)
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that em
Externí odkaz: https://doaj.org/article/04bc319606094730a085907f45c37fba
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6
A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems
Autor: Ching Y. Suen, Asadollah Shahbahrami, Saeed Khazaee, Ali Tourani, Sajjad Soroori
Publikováno v: IEEE Access, Vol 8, Pp 201317-201330 (2020)
The process of detecting vehicles' license plates, along with recognizing the characters inside them, has always been a challenging issue due to various conditions. These conditions include different weather and illumination, inevitable data acquisit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ca7374f80856220e8b86c3d02a334e
https://doi.org/10.1109/access.2020.3035992
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8
An Accurate Real-Time License Plate Detection Method Based On Deep Learning Approaches
Autor: Ching Y. Suen, Sajjad Soroori, Asadollah Shahbahrami, Saeed Khazaee, Ali Tourani
Publikováno v: International Journal of Pattern Recognition and Artificial Intelligence. 35
In vision-driven Intelligent Transportation Systems (ITS) where cameras play a vital role, accurate detection and re-identification of vehicles are fundamental demands. Hence, recent approaches have employed a wide range of algorithms to provide the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0098001f39968f926ad4a1361378832c
https://doi.org/10.1142/s0218001421600089
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