### Subsection AR Technology  
Augmented reality (AR) plane recognition technology refers to the technology of recognizing and interacting with flat surfaces in real scenes through mobile devices such as smartphones or tablets. With this technology, devices can capture and analyse flat features in real time and seamlessly overlay virtual content on physical surfaces, and users can obtain an enhanced experience without wearing a headset. Since AR plane recognition relies only on commonly used mobile devices, most consumers can easily use it, giving it an advantage in application popularity and applicability. However, the application of AR plane recognition in complex environments and unsatisfactory lighting conditions still faces certain limitations. [PERSON] and [PERSON] [1] pointed out that changes in ambient light and multi-object interference in complex scenes have significant effects on recognition accuracy, indicating that there is a realistic need to improve the reliability of technology under unsatisfactory conditions. [PERSON] and [PERSON] [2] further explored the challenges of multi-plane tracking in complex environments, especially in dealing with the recognition of non-flat and semi-transparent objects, which has forward-looking implications in further optimizing the performance of AR applications in complex scenes. In recent years, the application of AR technology in the design of small spaces has gradually attracted wide attention, especially in the field of interior layout and display design. [PERSON] and [PERSON] [3] proposed an AR optimization scheme for small-space scenes, which has practical reference value in the design of narrow spaces such as motorhomes by improving the recognition accuracy and interaction effect in space-limited environments. This scheme not only improves the recognition efficiency but also reduces the mismatching in the interaction between virtual and real objects and provides technical support for the design and operation in small spaces. In addition, [PERSON] et al. [4] studied the real-time optimization application of AR technology in a complex surface environment, showing that improving the speed and accuracy of AR recognition is crucial for displaying virtual content. Especially in the application of irregular surfaces, the real-time optimization method effectively enhances the stability and interactive experience of virtual objects. [PERSON] et al. [5] proposed optimization techniques for interior design in small spaces, which can significantly improve users' design and interaction fluency in small spaces. This kind of technological innovation is especially suitable for RV and small interior design, and the optimized AR can better support the needs of users in terms of space layout, design preview and detail adjustment. With the rapid development of AR technology, its adaptability in complex environments has also been significantly improved. [PERSON] and [PERSON] [6] studied the adaptability of plane recognition under dynamic lighting conditions and proposed an adaptive method to improve the recognition accuracy. The experimental results show that illumination variation is one of the key factors affecting the accuracy of AR recognition. After the introduction of adaptive algorithms, AR devices can perform more accurately under dynamic illumination conditions, which is especially suitable for outdoor and unstable light sources. [PERSON] and [PERSON] [7] proposed an adaptive feature recognition algorithm, which can maintain high recognition accuracy in scenes with variable light and complex backgrounds, which is of great value in mobile AR applications. [PERSON] and [PERSON] [8] proposed an optimization scheme for plane-detection accuracy in low-light environments, which effectively improved the recognition performance of AR equipment under dim conditions and provided important technical support for night and indoor applications.