Remotely operated walking excavator on Jetson at Bauma 2019 Trade Fair
Updated:
We invite you to experience a demonstration taking place at the Menzi Muck stand at Bauma, the World’s Leading Trade Fair for construction machinery, mining machines, construction vehicles and equipment.
Exhibition location: Messegelände, 81823 Munich, Germany
Dates: April 8-14th, 2019
The Demonstration of remotely controlled Menzi Muck walking excavator will be held outdoors in the Open-air Area North on stand FN.824/1
The daily demo slots are: 11:00, 12:30, 14:00, 15:30, 17:00
Menzi Muck walking excavator
Imaging Hardware
- Two 3.1 MPix XIMEA cameras with Sony IMX252 image sensor
- Connected to NVIDIA Jetson TX2 via carrier board
Real-time image processing software
- Provides up to 60 fps of synchronized image acquisition from each of the two XIMEA cameras
- Real-time processing is offering H.264/H.265 encoding and streaming (including black level, white balance, demosaicing, autoexposure, etc.)
- Glass-to-glass video latency over 4G/5G network ~50 ms
Links
ETH Zürich, Mechanical and Process Engineering Dept.
Jetson Nano vs TX1 vs TX2 vs Xavier Benchmark Comparison
Source codes and binaries for GPU-Camera-Sample software on Git to connect USB3 camera to Jetson
About the author
Fyodor Serzhenko, PhD, is the founder and CEO of Fastvideo. He earned his PhD at the Moscow Institute of Physics and Technology (MIPT) in 1993. Since 2009 he has led the development of Fastvideo’s GPU-accelerated image codecs and ISP modules, including the Fastvideo SDK. Connect on LinkedIn.
Why you can trust these results
Fastvideo has built GPU-accelerated image processing software since 2009. Our codecs comply with the standards they implement — JPEG (ITU-T T.81 / ISO IEC 10918) and JPEG2000 (ITU-T T.800 / ISO IEC 15444) — and our tools are open source on GitHub. Every performance figure we publish is reproducible: see our benchmark methodology, download the Fastvideo SDK benchmark report (PDF), and measure it on your own GPU.