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Found 4 papers, 2 papers with code
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
Vision Language Models (VLMs) have undergone a rapid evolution, giving rise to significant advancements in the realm of multimodal understanding tasks.
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations
Visual Question Answering (VQA) is one of the most important tasks in autonomous driving, which requires accurate recognition and complex situation evaluations.
Evaluation of Large Language Models for Decision Making in Autonomous Driving
Various methods have been proposed for utilizing Large Language Models (LLMs) in autonomous driving.
SuperDriverAI: Towards Design and Implementation for End-to-End Learning-based Autonomous Driving
Fully autonomous driving has been widely studied and is becoming increasingly feasible.
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