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English(EN) Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving

Qwen-Drive-1.0：自动驾驶视觉语言模型发布

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了Qwen-Drive-1.0，这是一款专为自动驾驶应用设计的新型视觉语言基础模型。该模型通过利用共享表示和分阶段训练方法，将3D感知、视觉问答和运动规划整合到一个统一的框架中。该系统包括一个用于目标检测和地图分割等任务的鸟瞰图感知头，以及一个用于生成未来轨迹的规划专家，在感知和规划方面均表现出强大性能，同时保留了通用的视觉语言能力。 AI

影响 该模型推动了自动驾驶系统感知与规划的融合，有望提高车辆的安全性和效率。

排序理由 该集群描述了一篇介绍特定应用领域新模型的论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Qwen-Drive-1.0：自动驾驶视觉语言模型发布

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该集群描述了一篇介绍特定应用领域新模型的论文。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Qwen-Drive-1.0：迈向自动驾驶视觉语言基础模型的初步探索

    Qwen-Drive-1.0 is a vision-language foundation model for autonomous driving that unifies 3D perception, visual question answering, and motion planning via shared representations and staged training.

  2. arXiv cs.CV TIER_1 English(EN) · Xin Zhou, Zongchuang Zhao, Zhibo Yang, Mingsheng Li, Humen Zhong, Shuai Bai, Du Chu, Ruizhe Chen, Zhaohai Li, Jun Tang, Qiuyue Wang, Mingkun Yang, Jiazhao Zhang, Dayiheng Liu, Dingkang Liang, Xiang Bai ·

    Qwen-Drive-1.0：迈向自动驾驶视觉语言基础模型的初步尝试

    arXiv:2609.00111v1 Announce Type: new Abstract: We present Qwen-Drive-1.0, an initial step towards a vision-language foundation model for autonomous driving. Qwen-Drive-1.0 retains the architecture of the pretrained vision-language model (VLM) and integrates 3D perception, visual…

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