上海人工智能实验室携手香港科技大学、德国图宾根大学及香港大学，近日共同推出了一项前沿技术——自动驾驶视频生成模型GenAD。这一创新模型的诞生，标志着自动驾驶研究领域又迈出了坚实的一步。据上证报中国证券网报道，GenAD模型能够预测和模拟复杂的真实世界场景，为自动驾驶技术的深入研究和广泛应用提供了宝贵的虚拟测试平台。
GenAD的出现，不仅拓宽了自动驾驶技术的研发路径，还与实验室先前发布的端到端自动驾驶模型UniAD以及“语言+自动驾驶”全栈数据集DriveLM形成了有力的互补。这些技术的综合运用，使得实验室在自动驾驶的智能性提升上实现了多维度的探索和突破。
上海人工智能实验室的这一系列举措，凸显了其在人工智能领域的领先地位和对技术创新的不懈追求。通过构建更为真实的模拟环境和强化数据集，GenAD有望推动自动驾驶技术更快地走向成熟，为未来的智能交通描绘出更加清晰的蓝图。
英语如下：
News Title: “Innovative Breakthrough! Shanghai AI Lab Unveils GenAD,开创Autonomous Driving Video Generation Era”
Keywords: GenAD model, autonomous driving, AI laboratory
News Content:
Title: Shanghai AI Lab Leads with Innovative Release: GenAD Autonomous Driving Video Generation Model Marks a New Technological Milestone
In collaboration with the Hong Kong University of Science and Technology, the University of Tübingen in Germany, and the University of Hong Kong, the Shanghai Artificial Intelligence Laboratory recently introduced an avant-garde technology – the GenAD autonomous driving video generation model. This pioneering model signifies a solid step forward in the realm of autonomous driving research. As reported by the Shanghai Securities News and China Securities Network, the GenAD model can predict and simulate complex real-world scenarios, offering a valuable virtual testing platform for the in-depth study and wide application of autonomous driving technology.
The emergence of GenAD not only broadens the development path for autonomous driving technology but also complements the lab’s previously released end-to-end autonomous driving model, UniAD, and the “Language+Autonomous Driving” full-stack dataset, DriveLM. The integration of these technologies enables the lab to explore and make breakthroughs in the intelligence of autonomous driving from multiple dimensions.
The Shanghai AI Laboratory’s series of initiatives underscores its leading position in the AI field and its relentless pursuit of innovation. By creating more realistic simulation environments and enhancing datasets, GenAD is poised to accelerate the maturation of autonomous driving technology, painting a clearer blueprint for the future of intelligent transportation.
【来源】https://news.cnstock.com/news,bwkx-202403-5207863.htm
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