The College of Computer Science and Information Technology at University of Basrah organized a scientific lecture titled "Autonomous Vehicles in Adverse Weather Conditions."

The lecture aimed to highlight the importance of developing object detection and tracking systems for autonomous vehicles, enhancing their ability to operate under various weather conditions—such as rain, fog, and snow—thereby improving the accuracy of intelligent systems and increasing road safety.

Presented by researcher Najwa Abdul-Baqi Lafta, the lecture reviewed key challenges facing vision and perception systems in autonomous vehicles. It also explored the role of artificial intelligence and deep learning technologies in addressing these challenges, as well as the significance of integrating data from various sensors—such as cameras, LiDAR, and radar—to improve the precision of object detection and tracking in difficult weather conditions.