BeVLM: BEV–LLM alignment and Graph of Thoughts for driving questions

Overview

This five-page challenge report aligns bird’s-eye-view features with language representations and links perception, prediction and planning questions through a Graph of Thoughts. It also states that some ablations used the test set, providing a concrete case for examining evaluation independence in automotive vision-language models.