The doctoral thesis on obstacle avoidance for self-driving cars, by student Zahraa Salah Dhayef, was discussed at the Institute of Informatics for Postgraduate Studies at the University of Information Technology and Communications. The thesis was in the field of computer science and was titled:
“A Perceptual Learning Algorithm for Vehicles Driven by a Robot to Avoid Obstacles “
This thesis aims to develop an approach to identify and classify obstacles facing self-driving cars, such as road signs, vehicles, traffic lights, and other road obstacles (such as pedestrians, road bumps, potholes, and animals), and the distance between the car and obstacles. At the end of the discussion, the committee head and members awarded the student a PhD with a “Good” rating in Computer Science.