#depthanything

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We are excited to be among the very first groups selected by NVIDIA Robotics to test the new NVIDIA #Thor. We have managed to run a #VisionLanguageModel (Qwen 2.5 VL) for semantic understanding of the environment, along with a monocular depth model (#DepthAnything v2), for safe autonomous navigation, all onboard. No cloud, no internet connection required! The video shows a simple result obtained in just two weeks of work. Kudos to Leonard Bauersfeld Jiaxu Xing Ismail Geles Yannick Armati for making this possible! #ComputerVision #Robotics University of Zurich UZH Space Hub UZH IfI European Research Council (ERC)

We are excited to be among the very first groups selected by NVIDIA Robotics to test the new NVIDIA #Thor. We have managed to run a #VisionLanguageModel (Qwen 2.5 VL) for semantic understanding of the environment, along with a monocular depth model (#DepthAnything v2), for safe autonomous navigation, all onboard. No cloud, no internet connection required! The video shows a simple result obtained in just two weeks of work. Kudos to Leonard Bauersfeld Jiaxu Xing Ismail Geles Yannick Armati for making this possible! #ComputerVision #Robotics University of Zurich UZH Space Hub UZH IfI European Research Council (ERC)

Davide Scaramuzza

31,433 次观看 • 10 个月前

Thrilled to introduce Video Depth Anything to support Depth Estimation for super-long videos (over 5 minutes). 👉It enjoys all the benefits of #DepthAnything: high-quality, fast, robust, etc. Proj Page:

Thrilled to introduce Video Depth Anything to support Depth Estimation for super-long videos (over 5 minutes). 👉It enjoys all the benefits of #DepthAnything: high-quality, fast, robust, etc. Proj Page:

25,464 次观看 • 1 年前

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