Object Tracking and Anticipation
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Jump to navigationJump to search| Title | Object Tracking and Anticipation |
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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. The student will analyze how different tracking and anticipation algorithms in scenes with falling snowflakes. Given the detected object bounding boxes, the student will experiment with Kalman Filtering, Extended Kalman Filtering, Particle Filtering, and Deep Learning-based tracking methods. |
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| Prerequisites | A solid background in Python
and Machine Learning. |
| Author | |
| Supervisor | Eren Aksoy |
| Level | Master |
| Status | Open |
