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Pages tagged language-model
📄 **[Read on arXiv](https://arxiv.org/abs/2406.14556)** AsyncDriver addresses the practical deployment problem of LLM-enhanced driving planners: LLMs are too slow for frame-by-frame planning. The key insight is that hig…
📄 **[Read on arXiv](https://arxiv.org/abs/2501.09757)** DiMA addresses the core tension in autonomous driving between vision-based planners (efficient but fragile on rare scenarios) and LLM-based approaches (strong reas…
[Read on arXiv](https://arxiv.org/abs/2310.01957) Driving with LLMs (Wayve, ICRA 2024) is one of the first concrete demonstrations of using a large language model as the decision-making "brain" for autonomous driving. T…
📄 **[Read on arXiv](https://arxiv.org/abs/2503.23463)** OpenDriveVLA introduces a Vision-Language Action model specifically designed for end-to-end autonomous driving. Unlike previous approaches that use VLMs as supplem…
📄 **[Read on arXiv](https://arxiv.org/abs/2505.24139)** S4-Driver is a self-supervised framework that adapts Multimodal Large Language Models (MLLMs) for autonomous vehicle motion planning. The system processes multi-vi…