# High-Definition 5MP Stereo Vision Sensing for Robotics

arXiv: https://arxiv.org/abs/2601.22445 · HTML: https://mlsanity.com/paper/2601.22445/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 30 Jan 2026.

## Abstract (arXiv)

High-resolution (5MP+) stereo vision systems are essential for advancing robotic capabilities, enabling operation over longer ranges and generating significantly denser and accurate 3D point clouds. However, realizing the full potential of high-angular-resolution sensors requires a commensurately higher level of calibration accuracy and faster processing -- requirements often unmet by conventional methods. This study addresses that critical gap by processing 5MP camera imagery using a novel, advanced frame-to-frame calibration and stereo matching methodology designed to achieve both high accuracy and speed. Furthermore, we introduce a new approach to evaluate real-time performance by comparing real-time disparity maps with ground-truth disparity maps derived from more computationally intensive stereo matching algorithms. Crucially, the research demonstrates that high-pixel-count cameras yield high-quality point clouds only through the implementation of high-accuracy calibration.