Graph-Based Image Matching for Indoor Localization
نویسندگان
چکیده
منابع مشابه
Image Augmented Laser Scan Matching for Indoor Localization
Indoor localization is a challenging problem addressed extensively by both robotics and computer vision communities. Most existing approaches focus on using either cameras or laser scanners as the primary sensor for pose estimation.In laser scan matching based localization, finding scan point correspondences across scans is a challenging problem as individual scan points lack unique attributes....
متن کاملIndoor Localization by Pattern Matching Method Based On Extended Database
This paper studied the CSS-based indoor localization system which is easy to implement, inexpensive to compose the systems, additionally CSS-based indoor localization system covers larger area than other system. However, this system has problem which is affected by reflected distance data. This problem in localization is caused by the multi-path effect. Error caused by multi-path is difficult t...
متن کاملImage-Based Localization Aided Indoor Pedestrian Trajectory Estimation Using Smartphones
Accurately determining pedestrian location in indoor environments using consumer smartphones is a significant step in the development of ubiquitous localization services. Many different map-matching methods have been combined with pedestrian dead reckoning (PDR) to achieve low-cost and bias-free pedestrian tracking. However, this works only in areas with dense map constraints and the error accu...
متن کاملScan Matching for Graph SLAM in Indoor Dynamic Scenarios
SLAM (Simultaneous Localization And Mapping) plays an essential and important role for mobile robotic autonomous navigation. SLAM in dynamic environments with moving objects is a challenging problem. We focus on scan matching for Graph-SLAM in indoor dynamic scenarios. Scan matching algorithm is proposed and implemented, which consists of the following phases: first, conditioned Hough Transform...
متن کاملEfficient Sequence Matching and Path Construction for Geomagnetic Indoor Localization
Geomagnetic field is highly applicable to indoor localization due to its pervasive spatial presence, high signal stability and infrastructureless support. Previous work in the area often fuses it with pedometer (step counter) via particles. These approaches are computationally intensive and require strong assumptions on user behavior. To overcome the weaknesses, we propose Magil, a pedometer-fr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Machine Learning and Knowledge Extraction
سال: 2019
ISSN: 2504-4990
DOI: 10.3390/make1030046