Improving the Efficiency of 3D Monocular Object Detection and Tracking for Road and Railway Smart Mobility

Autor: Alexandre Evain, Antoine Mauri, François Garnier, Messmer Kounouho, Redouane Khemmar, Madjid Haddad, Rémi Boutteau, Sébastien Breteche, Sofiane Ahmedali

Publikováno v: Sensors, Vol 23, Iss 6, p 3197 (2023)

Three-dimensional (3D) real-time object detection and tracking is an important task in the case of autonomous vehicles and road and railway smart mobility, in order to allow them to analyze their environment for navigation and obstacle avoidance purp

Externí odkaz: https://doaj.org/article/38db0a7787014d76928b8ac9281be55b

Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility

Autor: Antoine Mauri, Redouane Khemmar, Benoit Decoux, Madjid Haddad, Rémi Boutteau

Publikováno v: Journal of Imaging, Vol 7, Iss 8, p 145 (2021)

For smart mobility, autonomous vehicles, and advanced driver-assistance systems (ADASs), perception of the environment is an important task in scene analysis and understanding. Better perception of the environment allows for enhanced decision making,

Externí odkaz: https://doaj.org/article/065d796043354852b6ef0247d72c2319

Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz

Autor: Fatima Sekak, Kawtar Zerhouni, Fouzia Elbahhar, Madjid Haddad, Christophe Loyez, Kamel Haddadi

Publikováno v: Sensors, Vol 20, Iss 12, p 3396 (2020)

Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological

Externí odkaz: https://doaj.org/article/8f443a0ae34e4aedadb2edacbafed89c

Off-line Robustness Improvement of a Predictive Controller Using a Novel Tuning Approach Based on Artificial Neural Network

Autor: Nicolas Langlois, Madjid Haddad, Houssam Moumouh

Publikováno v: 2020 IEEE 16th International Conference on Control & Automation (ICCA)
2020 IEEE 16th International Conference on Control & Automation (ICCA), Oct 2020, Singapore, Singapore. pp.797-802, ⟨10.1109/ICCA51439.2020.9264476⟩
ICCA

International audience; A successful implementation of Model Predictive Control (MPC) requires appropriately tuned parameters. In This paper an Artificial Neural Network (ANN) based approach is presented. To build the data learning base of the ANN, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10fc36d824dd378e0e514058c861704
https://hal-normandie-univ.archives-ouvertes.fr/hal-03044368

Kurtosis-based connected components method for detecting small and transparent foreign objects in semiopaque bottles

Autor: Djallel Belhadj, Danielle Nuzillard, Valeriu Vrabie, Madjid Haddad

Publikováno v: Journal of Electronic Imaging
Journal of Electronic Imaging, SPIE and IS&T, 2020, 29 (04), pp.1. ⟨10.1117/1.JEI.29.4.041009⟩

In recent years, driven by new standards and image brand, product quality has become highly critical in the food industry. Particularly concerning the beverage industry, the potential presence of very small foreign objects, especially glass fragments

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce05b6601fc1f061bf8e8eadfaa07ccf
https://hal.archives-ouvertes.fr/hal-02539618