Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models
From ISLAB/CAISR
Jump to navigationJump to search| Title | Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models |
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| Summary | Use advanced LLMs to describe and interpret sensor data from autonomous vehicles. |
| Keywords | |
| TimeFrame | Spring 2026 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Felix Rosberg, Cristofer Englund |
| Level | Master |
| Status | Open |
Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models – Use advanced LLMs to describe and interpret sensor data from autonomous vehicles. Apply latest October 31
How to Apply?
Submit your CV, motivation letter, and grade transcripts.
Applying as a pair? Include your partner’s name in the application. Planned start: January 2026 (flexible) Application deadline: October 31, 2025 (applications reviewed continuously)
Read more and apply at Zenseacts webpage: https://career.zenseact.com/jobs/6537044-master-thesis-projects-in-sensing-perception
