Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Indoor localization poses is a challenge to computer vision research, since one may not make use of GPS-based devices. A classic approach commonly used in museums, research institutes, etc, is the use of fiducial marker to track the users position. Hover, this approach is intrusive into the ambient and not always possible. A possible solution would be natural marker detection, but algorithms for this, such as SURF, have not yet achieved real-time performance. A promising approach is a Visual Simultaneous Localization and Mapping (VSLAM) algorithm, which, starting from a known position, is capable of generating a map of the surrounding environment in portable systems. The problem of SLAM algorithms is theirs error accumulation that builds up during the movement. This work presents an algorithm to locate 3D positions in non-instrumented indoor environments using a b camera.  define a hybrid approach, using a pattern-recognition method to reinitialize whenever possible a VSLAM algorithm. An implementation of the proposed algorithm use ll-known computer vision algorithms, such as SURF and Davison's SLAM. In addition, tests re made on datasets from walks inside a room. Results indicate that our approach is better than a fiducial marker tracking and pure SLAM tracking in our test environment.
['Lucas Teixeira', 'Alberto Barbosa Raposo', 'Marcelo Gattass']
I am writing a research paper on a idea Indoor localization using SLAM in parallel with a natural marker detector
[{"from": "human", "value": "I am writing a research paper on a idea Indoor localization using SLAM in parallel with a natural marker detector"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Indoor localization poses is a challenge to computer vision research, since one may not make use of GPS-based devices. A classic approach commonly used in museums, research institutes, etc, is the use of fiducial marker to track the users position. Hover, this approach is intrusive into the ambient and not always possible. A possible solution would be natural marker detection, but algorithms for this, such as SURF, have not yet achieved real-time performance. A promising approach is a Visual Simultaneous Localization and Mapping (VSLAM) algorithm, which, starting from a known position, is capable of generating a map of the surrounding environment in portable systems. The problem of SLAM algorithms is theirs error accumulation that builds up during the movement. This work presents an algorithm to locate 3D positions in non-instrumented indoor environments using a b camera.  define a hybrid approach, using a pattern-recognition method to reinitialize whenever possible a VSLAM algorithm. An implementation of the proposed algorithm use ll-known computer vision algorithms, such as SURF and Davison's SLAM. In addition, tests re made on datasets from walks inside a room. Results indicate that our approach is better than a fiducial marker tracking and pure SLAM tracking in our test environment."}]