于雪梅’s Post

Coral reef underwater scene Using Blender to light, render, and make a fish system with Blender's built in particle system

Underwater footage from a #shrimp trawler in #Norway ⬇️ Recorded by the #CatchCam camera, the footage gives 'eyes on the net' to skippers and their crew during #fishing operations. Below, the underwater camera was used for monitoring catch behaviour around the trawl gear. While doing so, the skipper can also monitor how other species like #cod and #haddock, are interacting with the net. Learn more about this underwater camera here https://hubs.ly/Q02wGm1_0 Ocean Space Acoustics - PingMe™ #FishingTrip

Amazing to see the insights technology can generate in the fishing sector.

How the world longest underwater tunnel was built

Impressive Technology as things continue to change and advance technology

We delve into the key advantages of air integration and why it might be the game-changer you need for your next underwater adventure.

When using #underwatervehicles like #ROVHercules and #ROVAtalanta to explore the ocean, our #CorpsofExploration must be able to track the technology once it slips beneath the waves. Precise #underwaternavigation ensures the team knows the exact location of observations and avoids undersea obstacles. Join us in going #BeyondtheWow, to learn about three core technology systems we use for underwater navigation and how these systems work together. This multi-system approach allows us to navigate autonomous and #remotelyoperatedvehicles to explore efficiently and safely, even in some of the most challenging underwater environments. https://lnkd.in/eUWM7n5Z

Underwater focus control flashlight

It's amazing how technology advancements, especially in the subsea robotics domain, and innovation, a culture we constantly pursue in BM, meet for promoting cost-efficient solutions in projects that would normally require substantial budgets to be completed successfully a few years back. This is a typical example that demonstrates the case. We have been in the underwater photogrammetry business for some time now, typically relying on larger ROVs with advanced photogrammetric cameras and equipment payload for such projects, but we are now investigating the potential of our smaller ROVs, which however incorporate the latest subsea technology at a smaller form factor and at a reduced budget, to deliver high-quality 3D modelling results for our clients. This is a photogrammetric model of a Piper (type PA-28-181 Warrior II) aircraft found sunken off the Greek Island of Makronisos. We have utilized our Chasing M2 Pro Max ROV to acquire the raw photogrammetric material (UHD images) needed for the construction of the 3D model of this aircraft wreck. The utilization of the raw material acquired by the ROV camera for the construction of a detailed, properly scaled and aligned, 3D model, constituting the core of a successful underwater photogrammetry processing method, is a different very interesting and technically hot but also very debatable, especially in recent years, subject (which software tools to use, which processing methods, and so on). We have left this part out of this post discussion. Some tech details about this project: We have utilized the Chasing M2 Pro Max ROV for a 4K video inspection of the photogrammetry subject (aircraft wreck). The video inspection lasted 1hour and 4 minutes. A total number of approx. 11,000 UHD frames (8 MP analysis photographs) extracted from the video, at a rate of 3 frames per second, with the use of dedicated video processing software. Out of these frames, 5,000 were carefully selected based on clarity and image quality, ensuring a 60% overlap on average. Sufficient image overlapping is crucial in almost all photogrammetric projects. Model specifics: sparse point cloud comprising of 1.6 mil tie points, dense point cloud 50 mil points, mesh with 16 mil faces. Scaling was performed with coded targets deployed around the wreck position and lens calibration at inspection depth was performed by utilization of a proprietary calibration plate. Model measured to have a cm accuracy. Hope you will enjoy the result by watching this short video ……………………

● Isn't it stressful when your slow robot has to operate among other fast-moving obstacles? ● Aren't you annoyed when your AUV has to be overly conservative in highly dynamic environments? ● Don't you hate it when continuous time safety comes at computational expense? Then maybe RUMP is the right motion planner for you: ✔Non-conservative locally optimal trajectories ✔Avoidance of obstacles moving arbitrary fast ✔Resolution independent and continuous time safety ✔Experiments with obstacles moving x100 faster ✔Replanning up to 75Hz. Soon available in #ICRA 2024. ------------ Title: "RUMP: Robust Underwater Motion Planning in Dynamic Environments of Fast-moving Obstacles" Herman Biørn Amundsen, Torben Falleth Olsen, Marios Xanthidis, Eleni Kelasidi, Martin Føre SINTEF Ocean Norwegian University of Science and Technology (NTNU) Eelume AS Skarv Technologies Kongsberg Discovery Norges forskningsråd