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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)
1:07
davsca1's profile picture

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 views • 10 months ago

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:
1:28
bingyikang's profile picture

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:

Bingyi Kang

25,464 views • 1 year ago

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