Abstract—This paper proposes the indoor environment positioning algorithm using sensor fusion. The suggested method derived the positioning model for IMU ( ...

The proposed algorithm showed that the closest positioning performance to a real trajectory comparing to the positioning performance with a conventional ...

Dec 9, 2024 · By using the positioning results of multiple sensors to limit the range of geomagnetic matching for combined matching, the matching error can be ...

Real experiments, performed by good health users, demonstrate an accuracy of the positioning system of about 3.9 cm and a suitable rate of success probability ...

This paper presents a multi-sensor fusion factor graph (MSF-FG) positioning method applying IMU, Odometer and LiDAR sensors.

Jul 19, 2022 · Compared with the positioning method, the fusion positioning accuracy can be improved by 48%. The method proposed in this paper can use the ...

Feb 29, 2024 · By using data from multiple sensors, errors are reduced and positioning accuracy is improved. The results show that combining the Extended ...

Oct 22, 2024 · The results reveal that the positioning error of the enhanced multi-sensor fusion algorithm is reduced by 22% compared with the original ...

Sensor fusion frameworks for indoor localization are developed with the specific goal of reducing positioning errors.

Our research proposes a method to improve the 3D map construction performance by fusing data from the Ultrasonic-based Indoor Positioning System (IPS).