Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Digital Image and Video Processing for Autonomous Vehicles (17.CE823)

Type of studies	Title
Undergraduate Academic Studies	Software Engineering and Information Technologies (Year: 4, Semester: Summer)

General information:

Category	Professional-applicative
Scientific or art field	Computer Engineering and Computer Communication
ECTS	5

Introduce students to ADAS systems features. Introduce students to features of digital images and video signals as well as with the camera system in vehicles. Enable students to apply and develop advanced algorithms for processing of digital images and video signals, with an emphasis on algorithms for usage in autonomous vehicles.

Upon successful completion of the course, students will be able to: 1. evaluate different ADAS systems 2. compare image and video processing algorithms for autonomous vehicles 3. apply advanced image and video processing algorithms in real time 4. evaluate the camera systems for autonomous driving 5. apply processing algorithms on images acquired by the camera mirror replacement system 6. develop a prototype of a custom real-time image and video processing algorithm for application in autonomous vehicles

Introduction to ADAS (Advanced Driver Assistance Systems). Characteristics of digital image and video. Advanced algorithms for real-time and video processing used in autonomous vehicles. Image processing: compression processes, image enhancement methods, edge detection, object detection, classification and recognition, scene segmentation, optical character recognition. Video â€“ video standards, 3D scene reconstruction, time tracking of objects, stereovision, pedestrians detection using cameras. Camera systems in vehicles. Camera mirror replacement.

Lectures. Exercises in computer laboratory. Consultations.