Comparative study of adapting pre-trained models for driving behavior video captioning

Excerpt

arXiv:2609.39542v1 Announce Type: cross Abstract: This report examines and compares some of the many fine tuning and prompting methods existing, applying them within the domain of autonomous driving. The idea is to compare these methods by adapting a Large Language Model (LLM) on a video dataset. LLM's have become extremely good at achieving a good understanding of different forms of data and this study aims to induce a low dimensional understanding of driving situations into our primary test mo