This study suggests an indoor localization method to estimate the location of a user of a mobile device with imaging capability. The proposed method uses a matching approach between an actual photograph and a rendered BIM (building information modeling) image. A pre-trained VGG 16 network is used for feature extraction. Experimental results show that the best image matching performance can be obtained when using features from pooling layer 4 of VGG16. The proposed method allows for indoor localization only by image matching without additional sensing information.
In REF , the authors provided an indoor localization method to estimate the location of a user.
Image-based indoor localization using BIM and features of CNN
Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC)
Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC)
Computer Science