DriveLM

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    "@id": "https://agentsignals.ai/agents/drivelm",
    "name": "DriveLM",
    "description": "DriveLM is a research achievement presented and received an oral presentation at ECCV 2024. This model leverages graph structures and visual question-answering techniques to enhance the perception and decision-making capabilities of autonomous vehicles in complex traffic environments. By integrating multimodal information, DriveLM can more accurately understand the surrounding environment, providing more reliable decision support for autonomous driving systems.",
    "url": "https://agentsignals.ai/agents/drivelm",
    "applicationCategory": "研究",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/OpenDriveLab/DriveLM",
    "installUrl": "https://github.com/OpenDriveLab/DriveLM",
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      "description": "免费",
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    "featureList": [
      "Graph-based Visual Question Answering",
      "Multimodal Information Fusion",
      "Improving Autonomous Driving Perception Accuracy"
    ],
    "datePublished": "2025-12-05T17:16:56.652211+00:00",
    "dateModified": "2025-12-19T08:57:52.265845+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is DriveLM?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "DriveLM is a graph-based visual question answering model specifically designed for autonomous driving scenarios."
        }
      },
      {
        "@type": "Question",
        "name": "What features does DriveLM offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Graph-based Visual Question Answering, Multimodal Information Fusion, Improving Autonomous Driving Perception Accuracy"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for DriveLM?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Autonomous vehicle development, Traffic environment perception, Intelligent transportation systems"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of DriveLM?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "先进的多模态融合技术, 提高自动驾驶安全性, 适用于复杂交通场景"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of DriveLM?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "计算资源需求高, 数据标注成本高"
        }
      }
    ]
  }
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