Research And Realization Of Indoor Positioning Method Based On Binocular Matching Technology

With the rapid development of information technology era,the location-based service(LBS)is also constantly improving and innovating,such as the most commonly used one is the navigation service.With the rapid development and popularization of outdoor positioning,people's sight gradually turn to indoor positioning.However the indoor location environment is different from the outdoor location,the signal interference is serious and the environment is complex.Those reasons make the indoor positioning is difficult to achieve high accuracy.Although many breakthroughs have been made in the research of indoor positioning in recent years,there are still some problems to be solved urgently: the requirement for equipment is too high,the actual environment is more changeable and complex.These factors will affect the positioning results or even lead to larger positioning deviation.Among the various methods,the use of computer vision technology for indoor positioning is a hot research direction in the field of indoor positioning,and has a good positioning effect.This paper mainly studies the indoor positioning method and the accuracy and anti-interference problems in the current indoor positioning method.Firstly,the technical background and research situation of indoor positioning method will be introduced.Then,this paper will emphatically introduces the indoor positioning method based on computer vision in detail,and proposes a new indoor positioning method based on binocular matching technology through the comparative study of some algorithms.Because the binocular simulates human eyes highly,it achieves high accuracy,strong anti-interference ability and robustness,and is more suitable for indoor structures.However,when classical image matching and indoor location algorithm are combined,the accuracy is low and the applicability is not strong because of the large amount of structural information.In this case,the Junction feature which is well adapted to the indoor structure is selected to extract.Combining with the improved CPW energy function method,an improved SIFT algorithm is proposed for image matching,and then the preliminary location information is obtained.Combined with binocular ranging method and inertial sensor trajectory,more accurate position information can be obtained.Finally,an indoor positioning system is developed by using this algorithm.The indoor positioning method based on binocular matching technology is validated by taking the school office building as the experimental environment.The result shows that the positioning accuracy of the improved algorithm is obviously better than that of the traditional one.