Master Thesis - Deep Learning
Student & Trainee – Linköping
Deep Learning has been proven to be a powerful tool for automatic image- and data analysis and become the de facto standard on most classic computer vision issues such as classification, segmentation and tagging of images.
Real-time analysis of video streams has a broad scope, for example automatic analysis of traffic where it can act as decision support for autonomous vehicles to make decisions to avoid critical situations.
The purpose of this thesis is to investigate and evaluate how deep learning can be applied to video streams to be used as decision support or in an autonomous system.
Different application areas can be detection in video sequences for autonomous vehicles, traffic data analysis, video tagging, or real-time performance of embedded GPUs. We also look forward to your own suggestions.
- Background in Engineering, Computer Science or similar
- Significant part of courses associated with the degree are accomplished
- Strong analytical skills and ability to acquire new knowledge and apply it in the job
- Good communication skills in written and spoken Swedish/English
- Ability to formulate problems and solve them independently and with the team
- Willingness to write publication
- Extra plus is ability to run a demonstration of implemented concept solution
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Welcome with your application, see link below.