This paper provides an introductory survey on the various systems that exploit magnetic
fields for positioning. Such systems find applications in those scenarios, both indoors and …

Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …

In the intelligent logistics and warehouses, the autonomous mobile device (AMD) holds a
key position as it is equipped with the ability to carry out functions like material transportation …

We present a computationally efficient algorithm for using variations in the ambient magnetic
field to compensate for position drift in integrated odometry measurements (dead-reckoning …

This paper proposes a novel complete navigation system for autonomous flight of small
unmanned aerial vehicles (UAVs) in GPS-denied environments. The hardware platform …

This paper presents a simultaneous localization and mapping (SLAM) method that utilizes
the measurement of ambient magnetic fields present in all indoor environments. In this …

This paper presents a novel indoor localization method for skid-steering mobile robot by
fusing the readings from encoder, gyroscope, and magnetometer which can be read as an …

An indoor localization system based on off-the-shelf smartphone sensors is presented which
employs the magnetometer to find user location. Further assisted by the accelerometer and …

In this paper, we present a publicly available dataset for the evaluation of indoor positioning
algorithms that use magnetic anomalies. Our dataset contains IMU and magnetometer …

Repetitive or ambiguous environment, where structures are highly similar and distinct
geometric features are not sufficient, is one of the critical and challenging scenarios for …