交通信息与安全2018，Vol.36Issue(2)：39-46,60,9.DOI:10.3963/j.issn.1674-4861.2018.02.006
基于消防安全疏散标志的高精度室内视觉定位
High-accuracy Vision-based Indoor Positioning Using Building Safety Evacuation Signs
摘要
Abstract
As GPS signals are blocked in indoor environments,a vision-based accurate indoor positioning algorithm is proposed referring to fire safety evacuation signs which are widely and evenly distributed in indoor environments.The algorithm aims at calculating distance to the nearest fire safety evacuation sign in the map from the pose of current posi-tion.Color character of fire safety evacuation signs is used for color threshold segmentation.Histogram of Oriented Gra-dient(HOG)features and Support Vector Machine(SVM)are combined to check whether the candidate box contains a fire safety evacuation sign.Holistic Speeded Up Robust Features(SURF)is used for matching,and K-Nearest Neighbor (KNN)method is uses to select nearest K positions as candidate locations.SURF local feature is used for feature matc-hing,a location with the largest number of local feature matches is selected as the result of image-level positioning,and the pose of the current location is calculated in the map.Through the field test in an underground parking lot and an office building,the results show that the proposed method can meet the requirements of accurate indoor positioning,with the accuracy is above 96%,and the average positioning error is below 0.6 m.The results show that this proposed method provides a robust and accurate solution for indoor positioning.关键词
交通信息/室内定位/SURF全局特征/SURF局部特征/HOG特征Key words
traffic information/indoor positioning/SURF holistic feature/SURF local feature/HOG features分类
信息技术与安全科学引用本文复制引用
陶倩文,胡钊政,黄刚,蔡浩,吴志鹏..基于消防安全疏散标志的高精度室内视觉定位[J].交通信息与安全,2018,36(2):39-46,60,9.基金项目
国家自然科学基金项目(51679181)、湖北省技术创新项目重大专项(2016AAA007)、湖北省留学人员科技活动项目择优资助经费(2016-12)资助 （51679181）
