Ryo Tamura

Responsibility Distribution Estimation in Ego-View Accident Videos with Multimodal Large Language Models

This paper introduces responsibility distribution estimation for ego-view traffic accident videos, a new task in which a model predicts the percentage of responsibility assigned to each involved agent, and constructs an LLM-assisted responsibility annotation pipeline and fine-tune multimodal large language models under multiple input settings.