The Institute of Informatics discusses a doctoral thesis on obstacle avoidance for self-driving cars.

The Institute of Informatics discusses a doctoral thesis on obstacle avoidance for self-driving cars.
The Institute of Informatics for Graduate Studies discussed the doctoral thesis of student Zahraa Salah Dayef. The discussion session was held on Wednesday, March 19, 2025.
The thesis, in the field of computer science, was titled:
“A perceptual learning algorithm for vehicles driven by a robot to avoid obstacles.”
This thesis aims to develop an approach capable of identifying and classifying obstacles encountered by self-driving cars, such as road signs, vehicles, traffic lights, and other road obstacles (pedestrians, road bumps, potholes, and animals), as well as the distance between the vehicle and the obstacle.
The student Zahraa Salah Dayef earned her doctorate with a good grade in computer science.