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This research article presents a reconfigurable hardware architecture for real-time dense stereo processing aimed at solving the simultaneous localization and mapping (SLAM) problem in robotics. The system utilizes a stereo sensor to extract point features from image pairs, employing a maximum-likelihood dynamic programming technique for depth computation and feature consistency checks. The effectiveness of the system is evaluated through real scene depth detection and comparisons with ground truth data, de

Author

quanganh210606

Language

EN