Hamid Menouar

Qatar Mobility Innovations Center | QMIC

The success of modern deep learning is attributed to two key elements: huge amounts of training data and large model sizes. Where a vast amount of data allows the model to learn more features, the large model architecture boosts the learning capability of the model. However, both these factors result in prolonged training time. In some practical ap...

The rapid evolution of modern automobiles into intelligent and interconnected entities presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) for In-Vehicle Networks (IVNs). This survey paper offers an in-depth examination of advanced machine learning (ML) and deep learning (DL) approaches employed in developing...

Crowd Management (CM) is an important public safety paradigm that monitors, manages, and even guides a group of people to ensure their safety and prevent any unpredicted disturbance. Recent CM approaches utilize IoT devices such as CCTVs and RFID tags to enable crowd monitoring and tracking as well as abnormal behavior detection and prediction. How...

Visual crowd counting estimates the density of the crowd using deep learning models such as convolution neural networks (CNNs). The performance of the model heavily relies on the quality of the training data that constitutes crowd images. In harsh weather such as fog, dust, and low light conditions, the inference performance may severely degrade on...

Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep‐learning approaches have made it possible to develop fully automated vision‐based crowd‐monitoring applications. However, despite the magnitude of the issue at hand, the significant technological advanc...

Over the last decade, there has been a remarkable surge in interest in automated crowd monitoring within the computer vision community. Modern deep-learning approaches have made it possible to develop fully-automated vision-based crowd-monitoring applications. However, despite the magnitude of the issue at hand, the significant technological advanc...

Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks (CNN) have been published in the last few years. These models have achieved good accuracy over benchmark datasets. However, atte...

Automatic crowd counting using density estimation has gained significant attention in computer vision research. As a result, a large number of crowd counting and density estimation models using convolution neural networks (CNN) have been published in the last few years. These models have achieved good accuracy over benchmark datasets. However, atte...

The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged the importance of disinfection of objects and surfaces. To implement efficient and safe disinfection services during the pandemic, robots have been utilized for indoor asse...

Density estimation is one of the most widely used methods for crowd counting in which a deep learning model learns from head-annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance of the model is highly impacted by the accuracy of the annotations and inaccurate annotations may lead to localization and...

The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthorized drones is a significant problem which received attention in the last few years. In this paper, we present our experimental work on three drone detection methods (i.e.,...

Deep learning models require an enormous amount of data for training. However, recently there is a shift in machine learning from model-centric to data-centric approaches. In data-centric approaches, the focus is to refine and improve the quality of the data to improve the learning performance of the models rather than redesigning model architectur...

Video surveillance using drones is both convenient and efficient due to the ease of deployment and unobstructed movement of drones in many scenarios. An interesting application of drone-based video surveillance is to estimate crowd densities (both pedestrians and vehicles) in public places. Deep learning using convolution neural networks (CNNs) is...

Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has gained significant attention in computer vision. Over the past few years, various deep learning methods have been developed to achieve state-of-the-art performance. The m...

Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has gained significant attention in computer vision. Over the past few years, various deep learning methods have been developed to achieve state-of-the-art performance. The m...

Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but not limited to: following the flow of an array of people and monitoring large gatherings. In this paper, we propose an accurate monitoring system composed of two concatena...

Multi-rotor drones have witnessed a drastic usage increase in several smart city applications due to their three-dimensional (3D) mobility, flexibility, and low cost. Collectively, they can be used to accomplish different short-term and long-term missions that require low altitude motion in urban areas. Therefore, it is important to efficiently man...

The drones are now frequently used for many smart city applications including intelligent transportation to provide situational awareness for drivers as well as other stakeholders that manage the traffic. In such situations, one of the widely collected data is a video that is recorded by a drone and streamed in real-time to a remote control center....

Multi-rotor Unmanned Aerial Vehicles (UAVs) have been recently recognized as one of the top emerging technologies to be utilized in various smart city domains such as Intelligent Transportation Systems (ITS). They represent an innovative mean to complement existing technologies to surveil transportation network, control traffic, and monitor inciden...

This contribution presents a solution to improve the performances of micro unmanned aerial vehicles (UAVs) by increasing their missions coverage in terms of distance and time. This is achieved by letting the UAV ride existing land public transport such as the city bus throughout the route to its mission location. Indeed, due to their limited batter...

Unnamed aerial vehicles (UAVs) or drones have attracted growing interest in the last few years for multiple applications thanks to their advantages in terms of mobility, easy movement, and flexible positioning. In UAV-based communications, mobility and higher line-of-sight (LoS) probability represent opportunities for the flying UAVs while the limi...

In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally distributed events in a geographical area of interest over a long period of time. The proactive scheduling framework consider...

In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally distributed events in a geographical area of interest over a long period of time. The proactive scheduling framework consider...

IEEE 802.11p and 1609.4 are key layers in the WAVE architecture. They have been chosen to work as random medium multiple accesses with a multichannel switching scheme between SCH to CCH. This paper tackles the 'start-of-interval contention problem', which is faced during beaconing after switching to the CCH periods. At the beginning of each CCH, a...

The system that we propose in this paper aims to help robots to rescue immobilized victims by providing first aid (e.g.: oxygen masks). Such first aid can increase the chances of saved lives, by maintaining the status of victims until the arrive of rescue team for the take over. The proposed system takes advantage from a grid-based architecture for...

Micro unmanned aerial vehicles (MUAVs) have attracted much interest in multiple applications. Most of the MUAV-based applications require time-limited access to the spectrum to complete data transmission due to limited battery capacity of the flying units. These characteristics are the origin of two challenges in MUAV-based communications: 1) effic...

The Thirteenth International Conference on Wireless and Mobile Communications (ICWMC 2017), held between July 23 - 27, 2017 - Nice, France, followed on the previous events on advanced wireless technologies, wireless networking, and wireless applications. ICWMC 2017 addressed wireless related topics concerning integration of latest technological adv...

There could be no smart city without a reliable and efficient transportation system. This necessity makes the ITS a key component of any smart city concept. While legacy ITS technologies are deployed worldwide in smart cities, enabling the next generation of ITS relies on effective integration of connected and autonomous vehicles, the two technolog...

Wireless Sensor Networks have been used for many applications especially for sites monitoring and surveillance. This contribution proposes a new grid-based architecture to monitor an area of interest that could be of a large size through a number of energy efficient sensors deployed randomly to cover the whole area. The proposed solution relays on...

In Vehicular Ad-hoc Networks (VANETs), any vehicle uses a location service to get an up-to-date data of all vehicles' positions in its vicinity. Many location services rely on infrastructures to perform location update and location query tasks. However, the infrastructure penetration rate may differ from one region to another. We propose in this pa...

In this article, we discuss visible light communication (VLC) in the context of vehicular communication networks. With the omnipresence of light-emitting diodes (LEDs) in outdoor and automotive lightings, VLC emerges as a natural candidate for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. We first provide an overview...

To gather and transmit data, low cost wireless devices are often deployed in open, unattended and possibly hostile environment, making them particularly vulnerable to physical attacks. Resilience is needed to mitigate such inherent vulnerabilities and risks related to security and reliability. In this paper, Routing Protocol for Low-Power and Lossy...

Mobile and wearable sensing technology stands to provide a wealth of information to healthcare providers, and allows them to envision systems with reduced costs, automated monitoring and evaluation, and overall improved healthcare services. However, the volume of data produced by such mobile and sensing technologies needs to be managed efficiently...

Nowadays connectivity in the vehicles is becoming the base to enable safety, traffic efficiency, and infotainment applications. These applications require to exchange information with specific geographical locations. After a decade of research and standardization activities, a dedicated technology to support forwarding in Vehicular Ad-hoc Network (...

Vehicle location information is central to many location-based services and applications in VANETs. Tracking vehicles positions and maintaining an accurate up-to-date view of the entire network are not easy due to the high mobility of vehicles and consequently rapid topology changes. The design of a scalable, accurate, and efficient location servic...

This paper investigates the tradeoff between accuracy and complexity cost to predict electrocardiogram values using auto-regressive moving average (ARMA) models in a fully functional body area network (BAN) platform. The proposed BAN platform captures, processes, and wirelessly transmits six degrees-of-freedom inertial and electrocardiogram data in...

This paper presents experimental results on a fully functional body area network (BAN) platform in terms of energy consumption, delivery ratio and lifespan. The proposed BAN platform captures, processes, and wirelessly transmits six-degrees-of-freedom inertial and electrocardiogram data in a wearable, non-invasive form factor. A dynamic TDMA MAC la...

The number of vehicles on roads keeps increasing continuously, making the management of traffic flow, especially in big cities more and more challenging. One of the key enablers for having smooth traffic flows and better mobility is to rely on real-time traffic monitoring systems. These systems allow road operators to implement intelligent traffic...

This paper presents experimental results on a body area network platform that accurately and precisely captures, processes, and wirelessly transmits six-degrees-of-freedom inertial and electrocardiogram data in a wearable, non-invasive form factor. The platform is designed to be low-energy enabling health care applications and remote monitoring of...

Vehicular Ad-hoc Networks (VANETs) are special kind of Mobile Ad-hoc Networks (MANETs). The distinctive characteristics of the VANETs include high speed of vehicular nodes and high variability in node density. Congestion detection and control protocols have been proved to be an efficient method for improving network performance and are well studied...

This paper presents experimental results on the Routing Protocol for Low-Power and Lossy Networks (RPL). The RPL properties in terms of delivery ratio, control packet overhead, dynamics and robustness are studied. The results are obtained by several experimentations conducted on 2 large wireless sensor network testbeds composed of more than 100 sen...

This paper presents an analysis of link asymmetry in 5.9GHz vehicular communication by means of on-road experiments, and using a standard compliant vehicular communication platform. Similar works have been conducted in the last decades, especially by relevant industrial stakeholders, but none or only little information has been disclosed to the pub...

Car to car communication has been getting considerable interest for the last decade, especially in the last few years where market introduction phase is approaching fast. A variety of applications will be enabled thanks to car to car communication. Considerable efforts have been already spent in designing and developing efficient broadcast communic...

In this article, experimental results on the Routing Protocol for Low-Power and Lossy Networks (RPL) are presented. We study the RPL properties in terms of delivery ratio, control packet overhead and dynamicity. The results are obtained by several experimentations conducted in a large wireless sensor network testbed composed of more than 250 sensor...

Given the clear impact that mobility has on economical and social development, the continuous increase in the number of vehicles coupled with the increase in mobility behavior of people are creating new problems and challenges that need to be holistically addressed to ensure safe, sustainable, efficient and environmentally friendly mobility systems...

Car to car communication has been getting a considerable interest from both industry and academia since the last decades, and especially the last years where the market introduction phase is approaching fast. Several useful applications will be enabled by car to car communication, such as safety applications that save drivers and passengers' lives,...

The combination of geographic-based routing pro- tocols (GeoNetworking) and IPv6 NEtwork MObility (NEMO) into a single communication architecture (IPv6 GeoNetworking) is key in Vehicular Ad-hoc Networks (VANET). While NEMO manages Internet access and session continuity between the vehicle and the Internet, geographically based data forwarding allow...

Vehicular communication is an important part of the Intelligent Transportation Systems (ITS). Geographic routing in vehicular ad hoc network (VANET) is becoming an interesting topic to deliver safety messages between cars but also between a car and a roadside infrastructure within a designated destination area. The Car2Car Communication Consortium...

Efficient dissemination of messages in a vehicular ad hoc network (VANET) still face many challenges in the current research scenario. This paper addresses the problem of redundant forwarding of messages that occur during broadcast and proposes an adaptive forwarding mechanism which controls the amount of redundant messages thereby improving messag...

In vehicular communication networks vehicles keep exchanging geographical information. A vehicle should periodically inform other vehicles around about its geographical information. Each vehicle must be capable of geolocalization of itself, by using a geolocalization system such as GPS. When an event (e.g. traffic accident) happens on the road, som...

Next generation vehicles are expected to exchange information with other non-LOS vehicles, the road infrastructure and databases in the Internet in order to increase road safety and traffic efficiency, or simply to entertain passengers. In this context, the mutual knowledge of positions and trajectories is necessary and is only meaningful to vehicl...

Vehicular ad hoc networks (VANETs) represent a rapidly emerging, particularly challenging class of mobile ad hoc networks (MANETs). This chapter focuses only on the medium access control (MAC) layer, which is almost the same as that used in interactions with different physical layers in all IEEE 802.11 standards. It explains the classification of M...

Vehicular communication is regarded as a key technology in improving road safety. The most promising approach is the creation of Vehicular Ad Hoc Networks (VANETs), autonomous networks managed without any fixed infrastructure. Because of their specific properties and range of applications, VANETs require the development of new wireless communicatio...

Nowadays, researchers show more and more interests to vehicular ad hoc networks (VANETs), which are a specific instance of mobile ad hoc networks (MANETs) where nodes are vehicles. In VANETs, vehicles have no energy resource constraint which could extend coverage and network lifetime, but have a high mobility patterns that cause frequent and fast t...

Wireless vehicular communications are attracting more and more interests for applied research in industries. Most of the efforts are spent in deploying Vehicular Mobile Ad-Hoc Networks (VANETs) for applications such as active safety and Internet services. This paper addresses routing problem in VANETs for applications related to comfort and infotai...

In order to avoid transmission collisions in mobile ad hoc networks (MANETs), a reliable and efficient medium access control (MAC) protocol is needed. Vehicular MANETs (VANETs) have vehicles as network nodes and their main characteristics are high mobility and speed. Active safety applications for VANETs need to establish reliable communications wi...

Vehicular Ad hoc NETworks (VANETs) are a specific case of Mobile Ad hoc NETworks (MANETs), with high nodes mobility specification, and a large energy resource which could extend coverage and system lifetime. Frequent topology changes let VANETs have special re-search interests, like medium access control and routing optimization. In a previous work...

The inter-vehicle communication (IVC) is a direct transmission of information between vehicles without the use of a fixed infrastructure. Thus, it adapts quickly and easily to several circumstances. An IVC network is considered as an ad hoc network, which consists of a set of nodes (vehicles) that communicate through radio frequencies. We have pres...