Dynamic Optical Localization of a Mobile Robot Using Kalman Filtering-Based Position Prediction

• Published in: IEEE/ASME transactions on mechatronics Vol. 25; no. 5; pp. 2483 - 2492
• Main Authors: Greenberg, Jason N., Tan, Xiaobo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bearing-based localization; Communication; dynamic localization; Experimentation; Global Positioning System; Global positioning systems; GPS; Kalman filtering; Kalman filters; Light emitting diodes; light-emitting diode (LED) based communication; Line of sight communication; Localization; Mobile nodes; Mobile robots; Robots
• ISSN: 1083-4435; 1941-014X
• DOI: 10.1109/TMECH.2020.2980434

Autonomous mobile robots operating in areas with poor GPS and wireless coverage (e.g., underwater) must rely on alternative localization and communication approaches. In this article, we present an light-emitting diode (LED) based system that achieves simultaneous localization and communication (SLAC), where the line-of-sight (LOS) requirement for communication is exploited to extract the relative bearing of the communicating parties for localization. By using Kalman filtering to obtain the mobile robot's predicted position, the system is able to reduce the overhead of establishing the LOS and, therefore, significantly improve on the quality of the localization. The proposed design of the optical localization system is presented and its effectiveness is demonstrated with extensive simulation and experimentation in a two-dimensional setting, consisting of a mobile robot and two stationary base nodes.