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Optical Systems for Autonomous Driving

Anotace

The following topics are covered: Image processing methods for object detection and recognition in the area of self-driving cars. Methods for object localization in the vehicle surrounding based on the machine learning (image descriptors, convolutional neural networks, deep learning, SVM). Principles of vehicle detection, pedestrian detection, traffic sign detection, road line detection. Object recognition based on lidar and depth images.

Povinná literatura

1. E. Sojka, Digital Image Processing, lecture notes (in Czech), VŠB-TU Ostrava,2000 (ISBN 80-7078-746-5).
2. Gary Bradski, Adrian Kaehler: Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library, O'Reilly Media, 2017
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X , ISBN-13: 978-0470745861 , 2010

Doporučená literatura

1. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007
2. Michael Beyeler: Machine Learning for OpenCV, Packt Publishing, ISBN-13: 978-1783980284 , 2017


Language of instruction čeština, angličtina
Code 460-4131
Abbreviation OSAJ
Course title Optical Systems for Autonomous Driving
Coordinating department Department of Computer Science
Course coordinator Ing. Radovan Fusek, Ph.D.