Incremental Learning for Autonomous Driving
4 weeks ago
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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Gothenburg, Västra Götaland, Sweden Semcon Full timeJob Title: Thesis: Incremental Learning with Open World Object DetectionAt Semcon, we are seeking a highly skilled researcher to explore the feasibility and efficiency of implementing open world object detection in autonomous driving systems. The successful candidate will focus on the ability of open world object detection to handle edge cases and integrate...
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Gothenburg, Västra Götaland, Sweden Semcon Full timeJob Description:Göteborg Apply by linking to the job portal below and tell us moreAutonomous driving systems rely heavily on accurate object detection to ensure safety and efficient navigation. While current systems are trained on vast datasets containing common obstacles and objects, they often struggle with edge cases—unexpected or rare objects that...
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