Incremental Learning for Autonomous Driving

4 weeks ago


Gothenburg, Västra Götaland, Sweden Semcon Full time
Job Title: Thesis: Incremental Learning with Open World Object Detection

Job Summary:
As a researcher in autonomous driving, you will explore the feasibility and efficiency of implementing open world object detection in autonomous vehicles. Your focus will be on handling edge cases and integrating incremental training mechanisms.

Research Questions:
1. How does the performance of traditional object detection models compare to open world object detection models when encountering edge cases?
2. How can we ensure the robustness and reliability of an open world object detection system when faced with novel objects?
3. What is the computational and storage overhead introduced by incremental learning in open world object detection, and how can it be optimized for real-time processing?

About Semcon:
Semcon is a global company with operations in over 30 locations. We prioritize our end users and develop products, systems, and services in various areas. We collaborate with students to further skills, experience, and knowledge.

Join Our Team:
If you are interested in this opportunity, please apply through the link below. We look forward to hearing from you.

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