DriveJudge combines VLM reasoning with rule functions on a new 33,577-sample human-annotated dataset, outperforming EPDMS by 21.23 AUC on quality classification and DriveCritic by 6.5% on trajectory preference.
Rewarding dino: Predicting dense rewards with vision foundation models.arXiv preprint arXiv:2603.16978, 2026
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DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models
DriveJudge combines VLM reasoning with rule functions on a new 33,577-sample human-annotated dataset, outperforming EPDMS by 21.23 AUC on quality classification and DriveCritic by 6.5% on trajectory preference.