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论文《DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models》论文链接：https://arxiv.org/abs/2402.12289 项目连接：https://tsinghua-mars-lab.github.io/DriveVLM/ DriveVLM 的整体流程如图 1 所示：将连续帧视觉图像进行编码，通过特征对齐模块，与 LMM 进行交互；从场景描述开始...
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DriveVLM以视觉语言大模型为基础,并与端到端模型实现双系统,在复杂和驾驶场景中表现出色,是首个部署上车的自动驾驶大模型。该成果论文近日收录于CoRL 2024。 论文链接: https://arxiv.org/abs/2402.12289 项目链接: https://tsinghua-m...
项目主页:https://tsinghua-mars-lab.github.io/DriveVLM/ 作者:自动驾驶专栏 | 原文出处:公众号【自动驾驶专栏】 摘要 本文介绍了DriveVLM:自动驾驶与大型视觉语言模型的融合。城市环境中自动驾驶的一个主要障碍是理解复杂且长尾的场景,例如具有挑战性的路况和微妙的人类行为。为此,本文引入了DriveVLM,这是一种利用...
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项目连接:https://tsinghua-mars-lab.github.io/DriveVLM/ DriveVLM 的整体流程如图 1 所示: 将连续帧视觉图像进行编码,通过特征对齐模块,与 LMM 进行交互; 从场景描述开始引导 VLM 模型的思考,先引导时间、场景、车道环境等静态场景,再引导影响驾驶决策关键障碍物; ...
Expand Up@@ -137,7 +137,11 @@ DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Mo <!-- <!-- class="icon brands style2 fa-github">Github--> <ahref="https://arxiv.org/abs/2402.12289"class="icon style2 fa-file-pdf" <!-- <!-- target="_blank"> <...