A 360-Degree Spherical Representation for Robotics
Equipped with two fish-eye cameras, a robot can achieve a full 360-degree field of vision without overwhelming memory use or requiring excessive computing power for image processing.
Compact dual fish-eye cameras have been available for nearly a decade, offering an unlimited 360-degree view. Their resolution has steadily improved, now reaching up to 70 million pixels, providing excellent coverage for various robot types.
However, because these 360-degree images are projected onto a flat plane for processing, they suffer from distortions similar to those encountered when flattening a globe into a world map. Handling these distortions can be computationally intensive, especially for real-time tasks.
The proposed solution involves dividing the spherical image into cells and managing their projections within the image.
"Equipped with two fish-eye cameras, a robot will be able to see 360 degrees without exploding memory consumption and the computing power needed for image processing."
Author’s summary: Using two high-resolution fish-eye cameras, robots can efficiently capture full spherical views with reduced distortion processing, enabling better real-time navigation and environment analysis.
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