Hybrid Positioning

Hybrid Positioning is a localization method that combines computer vision and dead reckoning techniques to improve the accuracy and robustness of positioning through multi-sensor fusion. This approach leverages computer vision to acquire environmental features and integrates them with the continuous position estimation provided by dead reckoning, enabling high-precision indoor and outdoor localization. Its objective is to overcome the limitations of single technologies in complex environments, enhancing the reliability and accuracy of positioning systems. It is widely applied in areas such as autonomous driving, robot navigation, and augmented reality.