Oumayma Rachidi

Oumayma Rachidi was born in Rabat, Morocco. She is a second year Ph.D. student and received an engineer’s degree from National Graduate School of Arts and Crafts, Meknes, Morocco, in 2021.She is actually working as an electromechanical engineer in the industry field. Her ongoing dissertation studies the pedestrian detection in ADAS systems, and explores deep learning techniques for object detection. She is particularly interested in industrial control systems, FPGA based ADAS systems and Electrical Vehicles.

Publications

Design of a Real-Time-Integrated System Based on Stereovision and YOLOv5 to Detect Objects
Design of a Real-Time-Integrated System Based on Stereovision and YOLOv5 to Detect Objects
Oumayma Rachidi, Ed-Dahmani Chafik, Badr Bououlid. © 2024. 15 pages.
Real-time object detection represents a major part in the development of advanced driver assistance systems (ADAS). Pedestrian detection has become one of the most important...