EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
MIT Technology Review·Aug 25·5 min read
Seeing through murky waters
TL;DR
A new system developed by researchers at WHOI uses sonar and an image-matching algorithm to enhance visibility for remotely operated vehicles in murky underwater environments, allowing for safer navigation and object identification.
✦ Why It Matters
Consider integrating sonar and image-matching algorithms in your underwater robotics projects for improved navigation.
Key Takeaways
- Explore using sonar for initial environmental mapping in murky waters.
- Implement real-time image-matching algorithms for depth estimation.
- Consider applications in underwater construction and mine handling.
- Enhance ROV navigation strategies to improve operational safety.
How It Works
The system first employs sonar technology to create a quick map of the surroundings, which is effective in both clear and murky water. This mapping does not provide high-resolution images but allows the ROV to approach objects safely.
The image-matching algorithm, developed by French researchers, processes visual data to estimate the depth of each pixel in a 2D scene, enabling clearer imaging of specific targets.