Object Tracking and Anticipation

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Title Object Tracking and Anticipation
Summary The thesis presents an experimental study of different object-tracking and trajectory anticipation algorithms in the context of autonomous driving. The student will analyze how different deep learning-based tracking and anticipation algorithms work in scenes with falling snowflakes.
Keywords
TimeFrame
References
Prerequisites A solid background in Python

and Machine Learning.

Author
Supervisor Eren Aksoy
Level Master
Status Open