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RoblabWHGe
Германия
Добавлен 4 фев 2010
Impressions of the work of the RoboticLab of the University of Applied Science Gelsenkirchen (Lehr u. Forschungsgebiet Autonome Systeme) of Prof. Dr.-Ing. Dipl. Inform. Hartmut Surmann
Thermal 360° micro drone: Operational exercise under smoke at the Dortmund fire house
The 360° video shows an operational exercise under smoke of our new 360° + thermal camera video mini drone (18x18x18 cm) in the fire house in Dortmund. The thermal video is overlaid with the 360° video. The exercise was also accompanied by WDR (www.ardmediathek.de/video/wdr-dok/unser-leben-mit-ki-wie-kuenstliche-intelligenz-unsere-arbeit-revolutioniert/wdr/Y3JpZDovL3dkci5kZS9CZWl0cmFnLXNvcGhvcmEtODRjYWI5NjQtYjAxYS00NjdiLThjODgtYzViMGVmNTY3OThj from minute 7:16). The winds occurring during the fire are a particular challenge for the small drone and the pilot.
Просмотров: 7
Видео
Thermal 360° micro drone: Operational exercise under a fire roller at the Dortmund fire house
Просмотров 1822 часа назад
The 360° video shows an operational exercise of our new 360° thermal camera video mini drone (18x18x18 cm) in the fire house in Dortmund. The thermal video is overlaid with the 360° video. The exercise was also accompanied by WDR (www.ardmediathek.de/video/wdr-dok/unser-leben-mit-ki-wie-kuenstliche-intelligenz-unsere-arbeit-revolutioniert/wdr/Y3JpZDovL3dkci5kZS9CZWl0cmFnLXNvcGhvcmEtODRjYWI5NjQt...
How to build an amphibian robot (DIY)
Просмотров 2033 месяца назад
The video shows a self-made amphibian robot which was built by students as part of a software project. The robot was designed, 3D printed and waterproofed using epoxy resin. It is controlled using a Raspberry Pi, an Arduino and a smartphone for which a special control app was developed.
Rescue Oriented Simulation: Handling and Navigating Fires (ROSHAN)
Просмотров 664 месяца назад
In today's world, which is increasingly plagued by wildfires, understanding and combating these natural disasters is of crucial importance. This is where Roshan comes into play, the simulation tool for vegetation fires that is based on a combination of cellular automata and reinforcement learning. Roshan, standing for Rescue-Oriented Simulation, Handling and Navigating Fires, aims to simulate t...
360° and IR- Camera Drone Flight Test: Superimposition of two data sources for Post-Fire Inspection
Просмотров 2196 месяцев назад
This video highlights a recent flight test carried out in our cutting-edge robotics lab, unveiling the capabilities of our meticulously crafted thermal and 360° camera drone! We've ingeniously upgraded a DJI Avata with a bespoke thermal and 360° camera system. Compact yet powerful, measuring just 18 x 18 x 17 cm, this drone is strategically engineered to effortlessly navigate and deliver crucia...
Gaussian Splatting: 3D Reconstruction of a Chemical Company After a Tank Explosion in Kempen 8/2023
Просмотров 3226 месяцев назад
The video showcases a 3D model of a chemical company following a tank explosion that occurred on August 17, 2023, in Kempen computed with the gaussian splatting algorithm. Captured by a compact mini drone measuring 18cm x 18cm and equipped with a 360° camera, these images offer an intricate perspective of the aftermath. The computation need 29 minutes and uses 2770 images (~350 equirectangular ...
ARGUS - Aerial Rescue and Geospatial Utility System
Просмотров 1816 месяцев назад
ARGUS is a tool for the systematic acquisition, documentation and evaluation of drone flights in rescue operations. In addition to the very fast generation of RGB and IR orthophotos, a trained AI can automatically detect fire, people and cars in the images captured by the drones. The video gives a short introduction to the Aerial Rescue and Geospatial Utility System ARGUS Check out our Github r...
DIY Thermal Camera Drone Flight Test: Exploring Post-Fire and Post-Explosion Environments
Просмотров 5118 месяцев назад
This video features a flight test conducted in our robotics lab, showcasing a custom-built thermal camera drone. We've enhanced a DJI Avata with a specialized thermal camera system. With its compact dimensions measuring 18 x 18 x 17 cm, this drone is designed to navigate and provide critical thermal information within post-fire or post-explosion environments. For more insights, be sure to check...
NeRF: 3D Reconstruction of Chemical Company After Tank Explosion in Kempen (August 17, 2023)
Просмотров 1258 месяцев назад
The video showcases a 3D model of a chemical company following a tank explosion that occurred on August 17, 2023, in Kempen computed with the AI algorithm Neural Radiance Field (NeRF). Captured by a compact mini drone measuring 18cm x 18cm and equipped with a 360° camera, these images offer an intricate perspective of the aftermath. After a comprehensive aerial survey and inspection of the 360°...
3D model generated with the nerfacto AI algorithm after a fire
Просмотров 2349 месяцев назад
Essen 2 / 2022, outdoor, based on a meander flight with a P4 and Mavic Enterprise.
3D model generated with the nerfacto AI algorithm after a fire based on 360° camera images
Просмотров 3319 месяцев назад
Essen 2 2022, indoor, DJI FPV with insta360
UAV gestützte Inspektion bei Bränden von Industriehallen
Просмотров 659 месяцев назад
Der Vortrag (Folien) als Video ohne Ton. In den PDF Folien (www.rettungsrobotik.de) sind diese nicht enthalten. DRZ - Event: Rettungsrobotik im Dialog vom 06.09.2023.
Challenging Dataset: 3D point cloud generated with the nerfacto neural network model for 360° videos
Просмотров 25411 месяцев назад
.. and much better.. It seems neural network algorithm are the future for dense 3D modeling. docs.nerf.studio/en/latest/nerfology/methods/nerfacto.html
Challenging Dataset: 3D Pointcloud generated with the PatchMatch algorithm for 360° videos
Просмотров 12311 месяцев назад
... and as aspect the white ceiling and windows could not be modeled ..
Challenging Dataset: 360° video during rain and snow created with the invisible UAV
Просмотров 7011 месяцев назад
The dataset is used for 3D environment modeling, i.e. for the generation of dense 3D point clouds and 3D models with PatchMatch algorithm and neural networks. Difficult for the modeling algorithm are the reflections of rain, water and snow, as well as windows and vehicle surface. In addition, lighting conditions are constantly changing. So stay tuned for the next videos ....
Nerf(acto) for the 3D modeling of the Computer Science building of Westfälische Hochschule GE
Просмотров 178Год назад
Nerf(acto) for the 3D modeling of the Computer Science building of Westfälische Hochschule GE
Nerf(acto) for 3D modeling of the DRZ outside testing area
Просмотров 170Год назад
Nerf(acto) for 3D modeling of the DRZ outside testing area
Drone Flight Documentation with ARGUS at rescue operations
Просмотров 171Год назад
Drone Flight Documentation with ARGUS at rescue operations
German rescue robotic center captured by the DJI Avata & Insta360
Просмотров 132Год назад
German rescue robotic center captured by the DJI Avata & Insta360
German rescue robotic center captured by the invisible 360° UAV
Просмотров 93Год назад
German rescue robotic center captured by the invisible 360° UAV
3D point cloud model from the DRZ trainings site
Просмотров 176Год назад
3D point cloud model from the DRZ trainings site
Sperical UAV: Crash Test with 1/2 liter bottle from 2 meters
Просмотров 80Год назад
Sperical UAV: Crash Test with 1/2 liter bottle from 2 meters
DIY-UAV: Micro drones for rescue missions
Просмотров 206Год назад
DIY-UAV: Micro drones for rescue missions
RobSwarm: Deep reinforcement multi robot mapping
Просмотров 131Год назад
RobSwarm: Deep reinforcement multi robot mapping
Flighttest: Insta 360 R at a DJI Avata; 360° video
Просмотров 452Год назад
Flighttest: Insta 360 R at a DJI Avata; 360° video
Vision transformers for the segmentation prediction on 360° drone images in rescue environments
Просмотров 86Год назад
Vision transformers for the segmentation prediction on 360° drone images in rescue environments
Vision transformers for the dense prediction on 360° drone images in rescue environments
Просмотров 81Год назад
Vision transformers for the dense prediction on 360° drone images in rescue environments
Great results! Is there any paper or code for this?
What was used?
Inspirational!
🎉🎉🎉❤❤❤
Broo podrias hacer un video de como construir el dron paso a paso? Por favor🙏🙏🙏
Brooo
Is it generated directly by nerf-studio? I get very awful point-cloud with sample data Poster， What're the key points to get good results?
Por favor🙏
Podrías enseñar a construirlo por favor🙏
Interessante Technologie
Hi. Great work. After training an saving your model, how did you use it with the real robot?
O robô precisa de um cérebro para rodar o algoritmo. No caso ele usa uma Nvidia Jetson TX1. Então ele treinou no ambiente virtual, e depois implementou o algoritmo no Nvida Jetson TX1 para usar o aprendizado no robô real.
Nice intro!
How do you add hotspot to the panorama viewer?
Hi...can you share github repository/ dataset/ codes. Thanks
Hi, it is on kaggle at www.kaggle.com/datasets/julienmeine/rescue-object-detection (33GB of data)
Awesome! Can you share the setup (which camera exactly, I can only find the Insta360 ONE RS, and how is it mounted on the Avata)?
This is amazing, purely geometric back substitution approach which is way better than many existing techniques !!
Kinda like Skypersonic
Can the sphere on the outside rotate on both axis?
Should have came in with a go-go-gadget-marker and drew a big penis on the board.
Flying corona 😨 virus
that is cool
How?
Nice
Nice, can you tell us more about hard and Software?
Good evening! thank you, amazing footage, till next time! 😲
Please, Could you provide me with more information or an paper about your project? I am very interested to know more about it.
Ich hab gar nichts verstanden.
Do you have an add-on for OpenVSlam or is this a standalone SLAM program with dense clouds?
p̷r̷o̷m̷o̷s̷m̷ 😆
RoblabWHGe.Wow~ fantastic job~ see u around.))
Hello, I am a senior in IT department and my graduation project is almost the same of your Master's degree project and i need your help if you are not busy,and need any resources or videos to understand your code....
𝐩яⓞ𝓂𝓞Ş𝐦 💋
May I know how to apply the trained model in real autonomous mobile robot navigation? which file should I refer to ?
My professor told us to watch your video and complemented you :)
Hallo habe in deinem video bei einer stelle nicht verstanden was du gesagt hast bei 1:26 bis 1:33 was hast du dort genau gesagt verstehe es nicht ganz irgend was mit editieren?
Do you have a code repo at least of some kind?
Why the music so trippy? But really cool dude!
Great work! Do you have a paper available for your work? :-)
Under construction, coming soon
@@RoblabFhGe hope this was a success, great video demonstration!
Good work, how it know its target
Nice work done!
Hanzhen harmonic drive gear , robot arm gear , over 30 years experience ,
where can I get the GUI folder?
lol die musik
Nice work, terrible event... What program do you use to show the reconstruction?
www.opendronemap.org/webodm/
Sir, Can u share document and code?
Great production value on the video!
could you give us the example，plz？
NIce work, Can you share the git repo please for us.
Hi Can you please share gitHub repo?... my email: milyasmeo@gmail.com
Nach dem catkin_make war bei mir noch ein source ~/catkin_ws/devel/setup.bash nötig, bevor roslaunch das Paket youbot_arm_controller gefunden hat.