'NVIDIA Research Wins CVPR Autonomous Grand Challenge For End-To-End Driving; NVIDIA Showcases Accelerated Computing And Generative Ai Breakthroughs For Autonomous Vehicle Development At The Computer Vision And Pattern Recognition Conference'
'NVIDIA Research Wins CVPR Autonomous Grand Challenge For End-To-End Driving; NVIDIA Showcases Accelerated Computing And Generative Ai Breakthroughs For Autonomous Vehicle Development At The Computer Vision And Pattern Recognition Conference'
英偉達研究贏得CVPR自主大挑戰賽的端到端駕駛；在計算機視覺和模式識別會議上，英偉達展示了加速計算和生成人工智能突破的自動駕駛車輛開發。
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Making moves to accelerate self-driving car development, NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, running this week in Seattle.
今天，特斯拉-攝像頭車載傳感器技術領先的英偉達公司， 在正在西雅圖舉行的計算機視覺與模式識別（CVPR）大會上獲得了自主駕駛大挑戰賽的勝利，加速自駕車的研發進程。
Building on last year's win in 3D Occupancy Prediction, NVIDIA Research topped the leaderboard this year in the End-to-End Driving at Scale category with its Hydra-MDP model, outperforming more than 400 entries worldwide.
建立在去年三維佔據率預測的基礎上，英偉達研究團隊使用Hydra-MDP模型，今年在全球超過400個參賽隊伍中，在“大規模端到端駕駛”類別中領先了榜單，取得了優異的成績。
This milestone shows the importance of generative AI in building applications for physical AI deployments in autonomous vehicle (AV) development. The technology can also be applied to industrial environments, healthcare, robotics and other...
這一里程碑標誌着生成式人工智能在無人駕駛（AV）系統的物理應用中的...
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