2023年3月20日，上海人工智能实验室宣布，该实验室与香港科技大学、德国图宾根大学以及香港大学共同研发的大规模自动驾驶视频生成模型GenAD正式推出。此模型的推出，标志着我国在自动驾驶技术研究领域迈出了重要一步。
#### GenAD：拓宽自动驾驶技术研究路径
GenAD通过预测和模拟真实世界场景，为自动驾驶技术的研究和应用提供强有力的支撑。这种模型的核心优势在于，它能够生成高度真实、多样化的自动驾驶场景视频，从而为自动驾驶系统的训练和验证提供丰富的数据资源。这一突破性技术不仅拓宽了自动驾驶技术的研究路径，也极大提高了自动驾驶技术的研发效率。
#### 多维度探索，提升自动驾驶智能性
上海人工智能实验室并未止步于此。结合此前推出的端到端自动驾驶模型UniAD和“语言+自动驾驶”全栈数据集DriveLM，实验室从多个技术维度对自动驾驶技术进行深入探索。UniAD模型在端到端训练架构下，实现了自动驾驶感知、决策和控制的高度集成；DriveLM数据集则为自动驾驶系统提供了大量的、涵盖丰富语言描述的自动驾驶场景。
通过这些多元化的技术探索，上海人工智能实验室正全方位地提升自动驾驶技术的智能性，推动我国自动驾驶技术向更高层次发展。
总的来说，上海人工智能实验室的这一系列研究成果，无疑为自动驾驶技术的研究和应用提供了强有力的支持，也为我国在自动驾驶领域的持续发展注入了强大的动力。
英语如下：
Certainly, here is the translation in English using Markdown format:
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# Shanghai Artificial Intelligence Laboratory Unveils GenAD: Autonomous Driving Video Generation Model
Keywords: Shanghai AI Laboratory, Autonomous Driving Model, Video Generation Technology.
### Shanghai Artificial Intelligence Laboratory Unveils GenAD: Autonomous Driving Video Generation Model
On March 20, 2023, the Shanghai Artificial Intelligence Laboratory announced the official launch of GenAD, a large-scale autonomous driving video generation model developed in collaboration with the Hong Kong University of Science and Technology, the University of Tübingen in Germany, and the University of Hong Kong. The introduction of this model represents a significant step forward for China in the field of autonomous driving technology research.
#### GenAD: Expanding the Research Pathway for Autonomous Driving Technology
GenAD generates highly realistic and diverse autonomous driving scene videos by predicting and simulating real-world scenarios, providing robust support for the research and application of autonomous driving technology. The core advantage of this model lies in its ability to produce highly realistic and diverse autonomous driving scene videos, thereby providing an abundant data resource for the training and validation of autonomous driving systems. This groundbreaking technology not only expands the research pathway for autonomous driving technology but also greatly enhances the research and development efficiency of autonomous driving technology.
#### Exploring Multi-Dimensions to Enhance the Intelligence of Autonomous Driving
The Shanghai Artificial Intelligence Laboratory is not stopping here. By combining the previously released end-to-end autonomous driving model UniAD and the “Language + Autonomous Driving” full-stack dataset DriveLM, the laboratory is delving into autonomous driving technology from multiple technical dimensions. The UniAD model, under an end-to-end training architecture, achieves high integration of autonomous driving perception, decision-making, and control; while the DriveLM dataset provides a wealth of autonomous driving scenes with rich language descriptions for autonomous driving systems.
Through these diverse technical explorations, the Shanghai Artificial Intelligence Laboratory is comprehensively enhancing the intelligence of autonomous driving technology, propelling China’s autonomous driving technology towards higher levels of development.
In summary, the series of research achievements from the Shanghai Artificial Intelligence Laboratory无疑 provides strong support for the research and application of autonomous driving technology, and also injects powerful momentum into the sustained development of China’s autonomous driving field.
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This translation captures the essence of the original Chinese text in an English-language format suitable for an international audience.
【来源】https://news.cnstock.com/news,bwkx-202403-5207863.htm
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