Ali Tourani

University of Luxembourg · Interdisciplinary Centre for Security, Reliability and Trust

Vehicle counting process provides appropriate information about traffic flow, vehicle crash occurrences and traffic peak times in roadways. An acceptable technique to achieve these goals is using digital image processing methods on roadway camera video outputs. This paper presents a vehicle counter-classifier based on a combination of different vid...

Video-based vehicle speed measurement systems are known as effective applications for Intelligent Transportation Systems (ITS) due to their great development capabilities and low costs. These systems utilize camera outputs to apply video processing techniques and extract the desired information. This paper presents a new vehicle speed measurement a...

Video-based Intelligent Transportation Systems (V-ITS) can play a key role in developing a wide range of applications in transportation field. These systems use the outputs of video cameras to extract desired information by the means of various artificial intelligence techniques. Considering impressive advantages of applying Deep Neural Networks (D...

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 best possible accuracy. These methods commonly generate a vehicle detection model based on its visua...

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 acquisition noises, and some other challenging scenarios like the demand for real-time performance in state-...

The current work introduces an improved version of our previous marker-based approach presented in IROS'23 with a broader coverage of sensors and semantic concepts support built upon ORB-SLAM 3.0. It employs pose information of the markers placed on walls and doorways to estimate the 3D equation of their planes, while the markers only keep their co...

3D scene graphs offer a more efficient representation of the environment by hierarchically organizing diverse semantic entities and the topological relationships among them. Fiducial markers, on the other hand, offer a valuable mechanism for encoding comprehensive information pertaining to environments and the objects within them. In the context of...

Point-of-Interest (POI ) recommendation systems have gained popularity for their unique ability to suggest geographical destinations with the incorporation of contextual information such as time, location, and user-item interaction. Existing recommendation frameworks lack the contextual fusion required for POI systems. This paper presents CAPRI, a...

Fiducial markers can encode rich information about the environment and aid Visual SLAM (VSLAM) approaches in reconstructing maps with practical semantic information. Current marker-based VSLAM approaches mainly utilize markers for improving feature detection in low-feature environments and/or incorporating loop closure constraints, generating only...

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 autonomously in unknown environments. Situational Awareness (SA) is a fundamental capability of humans...

Fiducial markers can encode rich information about the environment and can aid Visual SLAM (VSLAM) approaches in reconstructing maps with practical semantic information. Current marker-based VSLAM approaches mainly utilize markers for improving feature detections in low-feature environments and/or for incorporating loop closure constraints, generat...

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 employ cameras for pose estimation and map reconstruction and are preferred over Light Detection And R...

Nowadays, utilizing Advanced Driver-Assistance Systems (ADAS) has absorbed a huge interest as a potential solution for reducing road traffic issues. Despite recent technological advances in such systems, there are still many inquiries that need to be overcome. For instance, ADAS requires accurate and real-time detection of pedestrians in various dr...

Vision-based sensors have shown significant performance, accuracy, and efficiency gain in Simultaneous Localization and Mapping (SLAM) systems in recent years. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that employ cameras for pose estimation and map generation. We can see many research...

The seemingly simple step of molding a cholesteric liquid crystal into spherical shape, yielding a Cholesteric Spherical Reflector (CSR), has profound optical consequences that open a range of opportunities for potentially transformative technologies. The chiral Bragg diffraction resulting from the helical self-assembly of cholesterics becomes omni...

Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI) recommender systems. However, the issue of contextual bias (i.e., how much consumers prefer one situation over another) has received little attention from the research c...

Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and loca�tion is a primary objective of Point-of-Interest (POI) recommender systems. However, the issue of contextual bias (i.e., how much consumers prefer one situation over another) has received little attention from the research...

Point-of-Interest (POI) recommender systems provide per-sonalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be impacted by data biases, resulting in unfair outcomes for different stakeholders, mainly consumers (users) and prov...

Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be impacted by data biases, resulting in unfair outcomes for different stakeholders, mainly consumers (users) and provi...

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 best possible accuracy. These methods commonly generate a vehicle detection model based on its visua...

Providing huge amounts of data is a fundamental demand when dealing with Deep Neural Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in the advent of various image datasets to feed the most common visual imagery deep structures, known as Convolutional Neural Networks (CNNs). In this regard, some datasets can b...

امروزه نظارت ویدئویی بر مسیرهای جاده‌ای از اصلی‌ترین کاربردهای سامانه‌های حمل‌ونقل هوشمند تلقی می‌شود. دوربین‌های ویدئویی نصب‌شده در کنار جاده‌های شهری و بین‌شهری، به‌عنوان پیکربندی رایج سامانه‌های نظارتی، امکان نمایش بدون وقفه وضعیت حرکتی خودروها را فراهم می‌آورند. حوزه‌های کاربردی این دوربین‌ها در نمایش لحظه‌ای وضعیت ترافیک، اندازه‌گیری سرعت لحظه...

Employing deep learning approaches has resulted in magnificent perfections in computer vision applications in recent years. In addition, Deep Neural Networks (DNNs) have shown to be remarkable alternatives for common shallow machine learning techniques like Support Vector Machines (SVM). Deep learning provides great solutions for both classic and m...

Nowadays, Intelligent Transportation Systems (ITS) are known as powerful solutions for handling traffic-related issues. ITS are used in various applications such as traffic signal control, vehicle counting, and automatic license plate detection. In the special case, video cameras are applied in ITS which can provide useful information after process...

سامانه‌های حمل‌ونقل هوشمند جزو جدیدترین ابزارهای مدیریت و کنترل وسایل نقلیه در دنیای امروز محسوب می‌شوند. این سامانه‌ها در حوزه‌های کاربردی متفاوتی از قبیل مدیریت ترافیک، تشخیص تخلفات و ارتباط بین زیرساخت‌های هوشمند، مورداستفاده قرار می‌گیرند. در حوزه مدیریت ترافیک، اندازه‌گیری سرعت خودروهای عبوری می‌تواند توسط اعمال فنون پردازش تصویر بر روی ویدئوی...

This presentation aimed the major applications of Digital Image Processing techniques in Vision-based Intelligent Transportation Systems, which utilizes roadway/in-vehicle cameras for further processing. Some applications such as Automatic License-plate Recognition, Speed Measurement, Vehicle Count, Traffic Flow Estimation and Vehicle Type Classifi...

CUDA (Compute Unified Device Architecture) is a parallel computing platform developed by Nvidia which provides the ability of using GPUs to run computationally intensive programs. This presentation provides a brief overview of CUDA, parallelism in the GPU and the syntax needed to know to run the program on GPU.

This presentation introduces principal concepts of Fiber Optic Sensors (FOS) and their application in our daily lives. Optical Fibers can be used in communications, sensors (the topic of this presentation), power transmission, etc. Fiber Optic Sensors should detect changes in intensity, phase, polarization, wavelength and spectral distribution. Thi...

Utilizing video-based instruments like surveillance cameras, shape the change in Intelligent Transportation Systems. These devices have attracted a great amount of research attention in traffic-related applications due to their appropriate output quality, easy installation, low-cost maintenance, and high flexibility. The video output of cameras is...

In the beginning, we described Cloud Computing, its deployment models and the type of existing clouds. Finally, several design patterns that are well-known in this scope have been elaborated.

This presentation is an introduction to Ruby programming language and Ruby on-Rails, in especial case. The architecture, applications, installation guide and project creation of Ruby on-Rails is discussed in this manuscript. Additionally, Active-Records, CRUD and Migration concepts are shown by a real example. Presentation was under supervision of...

هدف کلی از مقوله رمز نگاری ، بررسی تکنیک‌های ریاضی مربوط به جنبه‌های ایمنی اطلاعات و ایجاد محرمانگی ، امنیت و تائید محتوا و منشا اطلاعات برشمرده میشود. رمزنگاری بصری یکی از شاخه های اشتقاق یافته از رمزنگاری است که با استفاده از کلید ها و الگوریتم های متنوع پیاده سازی، تصویر ورودی را بصورت شکسته شده و غیر قابل بازیابی و سرقت اطلاعاتی درمی آورد، سپس...

Today, there is a great deal of information available in Web world and the only way to access them is through search relationships. Web crawler is an automated script that independently browses the web. Web crawler starts its task with a "seed URL" and then traces links available in each page. This encountered many available crawlers with essential...

Crawler-based search engines are the mostly used search engines among web and Internet users, involve web crawling, storing in database, ranking, indexing and displaying to the user. But it is noteworthy that because of increasing changes in web sites search engines suffer high time and transfers costs which are consumed to investigate the existenc...