The student (Nabaa' Basil Abid) received her master's degree from the Department of Computer Sciences / University of Technology for her thesis (Autonomous Car Control based on Pattern Recognition Algorithms) The objective of self-driving cars is Reduce risks, problems and costs that arise from human participation. Auto-driving is designed for roaming between places of destination without the human operator. So one of the main functions of self-driving cars is auto detection moving in front of it using computer vision techniques. Detecting and tracking a mobile body is still an open research issue, though research for years. Even today, it remains a major challenge to achieve a rigorous, robust and high-performance approach. How one can define an object to be detected and tracked is the level of difficulty of this problem, which helps to make a decision to determine the path of independent cars avoiding accidents. Object detection of a series of images is a preparatory step but a critical task for computer vision applications in extracting the information. The main objective of this work is to develop object detection algorithm and improve trace algorithms. Development of algorithms traffic parameters such as displacement, speed, direction and positioning are estimated by developing the results of detection and tracking algorithms.

This was on Thursday 24/5/2018 and at the discussion hall in the annex building of the department. The discussion committee was composed of (Dr. Matheel Emad El-Din Abdel Moneim, Dr. Ekhlas Khalaf Kabbashi (from the University of Technology / Department of Computer Sciences and (Dr Ibrahim Nazir Ibrahim from Al Mustansiriya University / Faculty of Basic Education / Department of Computer Science in the presence of the student's supervisor (Prof. Dr. Abdel Munem Saleh Rahma).

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