76 documents found, page 1 of 8
A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions
Noor, Alam; Li, Kai; Ammar, Adel; Koubâa, Anis; Benjdira, Bilel; Tovar, EduardoUnmanned Aerial Vehicle (UAV) detection for public safety protection is becoming a critical issue in non-fly zones. There are plenty of attempts of the UAV detection using single stream (day or night vision). In this paper, we propose a new hybrid deep learning model to detect the UAVs in day and night visions with a high detection precision and accurate bounding box localization. The proposed hybrid deep learn...
On Energy Efficiency and Performance Evaluation of Single Board Computer Based ...
Qureshi, Basit; Koubâa, AnisEnergy efficiency in a data center is a challenge and has garnered researchers interest. In this study, we addressed the energy efficiency issue of a small scale data center by utilizing Single Board Computer (SBC)-based clusters. A compact layout was designed to build two clusters using 20 nodes each. Extensive testing was carried out to analyze the performance of these clusters using popular performance bench...
An Efficient approach to Multisuperframe tuning for DSME networks
Kurunathan, Harrison; Severino, Ricardo; Koubâa, AnisDeterministic Synchronous Multichannel Extension (DSME) is a prominent MAC behavior irst introduced in IEEE 802.15.4e that supports deterministic guarantees using its multisuperframe structure. DSME also facilitates techniques like multi-channel and CAP reduction that help to increase the number of available guaranteed timeslots in a network. However, no tuning of these functionalities in dynamic scenarios is s...
An Analytical Hierarchy Process-Based Approach to Solve the Multi-Objective Mul...
Trigui, Sahar; Cheikhrouhou, Omar; Koubâa, Anis; Zarrad, Anis; Youssef, HabibWe consider the problem of assigning a team of autonomous robots to target locations in the context of a disaster management scenario while optimizing several objectives. This problem can be cast as a multiple traveling salesman problem, where several robots must visit designated locations. This paper provides an analytical hierarchy process (AHP)-based approach to this problem, while minimizing three objective...
On the Robot Path Planning using Cloud Computing for Large Grid Maps
Chaari, Imen; Koubâa, Anis; Qureshi, Basit; Youssef, Habib; Severino, Ricardo; Tovar, EduardoGlobal path planning consists in finding the optimal path for a mobile robot with the lowest cost in the minimum amount of time, without colliding with the obstacles scattered in the workspace. In this paper, we investigate the benefits of offloading path planning algorithms to be executed in the cloud rather than in the robot. The contribution consists in developing a vertex-centric implementation of RA∗ [1], ...
Robot Operating System (ROS) - The Complete Reference (Volume 3)
Koubâa, AnisBuilding on the successful first and second volumes, this book is the third volume of the Springer book on the Robot Operating System (ROS): The Complete Reference. The Robot Operating System is evolving from year to year with a wealth of new contributed packages and enhanced capabilities. Further, the ROS is being integrated into various robots and systems and is becoming an embedded technology in emerging rob...
IEEE 802.15.4e in a Nutshell: Survey and Performance Evaluation
Kurunathan, Harrison; Severino, Ricardo; Koubâa, Anis; Tovar, EduardoThe advancements in information and communication technology in the past decades have been converging into a new communication paradigm in which everything is expected to be interconnected. The Internet of Things, more than a buzzword, is becoming a reality, and is finding its way into the industrial domain, enabling what is now dubbed as the Industry 4.0. Among several standards that help in enabling Industry ...
Dual Mode for Vehicular Platoon Safety: Simulation and Formal Verification
Karoui, Oussama; Khalgui, Mohamed; Koubâa, Anis; Guerfala, Emna; Li, Zhiwu; Tovar, EduardoIn order to cope with uncertainties in a platoon, this paper proposes a reconfigurable multi-agent architecture to address the platoon safety problem by handling two modes: the normal mode and the degraded mode. At this stage of research, the normal mode is characterized by the interaction between agents over a Vehicle-to-Vehicle (V2V) communication network while the degraded mode simply involves sensors for a ...
RoadSense: Smartphone Application to Estimate Road Conditions using Acceleromet...
Allouch, Azza; Koubâa, Anis; Abbes, Tarek; Ammar, AdelMonitoring the road condition has acquired a critical significance during recent years. There are different reasons behind broadening research on this field: to start with, it will guarantee safety and comfort to different road users; second, smooth streets will cause less damage to the car. Our motivation is to create a real-time Android Application RoadSense that automatically predicts the quality of the road...
Performance Evaluation of Vehicular Platoons using Webots
Karoui, Oussama; Guerfala, Emna; Koubâa, Anis; Khalgui, Mohamed; Tovar, Eduardo; Wu, Naiqi; Al-Ahmari, Abdulrahman; Li, ZhiwuSafety issue of vehicular platoons remains a critical challenge and is still open for investigation. In this study, the authors propose an accurate simulation model for vehicular platoons, taking into consideration of the kinematics and dynamics aspects of the platoon and its physical constraints. A hybrid controller formed by two different longitudinal and lateral proportional–integral–derivative controllers a...