Difference between revisions of "Object Tracking and Anticipation"

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{{StudentProjectTemplate
|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. 
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|Summary=The thesis presents an experimental study of different object-tracking and trajectory anticipation algorithms in the context of autonomous driving.  
 
|Prerequisites=A solid background in Python
 
|Prerequisites=A solid background in Python
 
and Machine Learning.
 
and Machine Learning.

Latest revision as of 12:06, 23 September 2024

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.
Keywords
TimeFrame
References
Prerequisites A solid background in Python

and Machine Learning.

Author
Supervisor Eren Aksoy
Level Master
Status Open