Design of a structured-light reconstruction and ranging system based on binocular omnidirectional vision

In the research and application of omnidirectional vision systems, traditional experimental setups often suffer from complex hardware configurations, cumbersome calibration procedures, and limited adaptability to varying environments. To improve system usability and measurement accuracy, this paper proposes a data reconstruction and ranging method that integrates binocular omnidirectional vision with structured light. The proposed method employs two omnidirectional images to achieve high-precision reconstruction of complex obstacle contours, enabling accurate target localization and distance estimation. The system features a simple architecture and allows flexible adjustment of camera installation parameters to accommodate diverse application scenarios, while reducing reliance on strict physical calibration. Experimental results demonstrate that, compared with a monocular omnidirectional vision system, the proposed method achieves significantly higher reconstruction accuracy and ranging precision, and maintains strong robustness under different camera configurations. Additional real-world experiments further validate the effectiveness of the proposed approach, highlighting its potential for practical applications in omnidirectional visual perception.