Towards the Intelligence Evaluation of High-level Autonomous Vehicles: A Subjective-Objective Mapping Method via LLM

This repository provides a lightweight reproduction of an autonomous-driving intelligence evaluation workflow. It evaluates vehicle interactions from five dimensions, combines ten normalized objective metrics with LLM-based subjective scores, and trains an attention-based neural network to approximate the final intelligence score. The repository includes 705 indexed Waymo interaction samples and a lightweight Waymo/trajdata cache. It can therefore reproduce the main workflow without downloading the complete Waymo or InterHub dataset.