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Comparing the Performance of Indoor Localization Systems through the EvAAL Framework
Francesco Potortì1, Sangjoon Park2, Antonio Ramón Jiménez Ruiz3
1ISTI Institute of CNR, Pisa 56124, Italy. Potorti@isti.cnr.it.
Sensors (Basel, Switzerland)
|October 14, 2017
Summary
The EvAAL benchmarking framework provides a standardized method for comparing indoor localization systems. It was successfully validated in the 2016 IPIN Competition, demonstrating its flexibility and adequacy for diverse indoor positioning scenarios.
Area of Science:
- Computer Science
- Robotics
- Ubiquitous Computing
Background:
- Indoor localization systems are crucial for applications like navigation, IoT, and security, but lack standardized performance metrics.
- The diversity of applications and requirements hinders the development of universal indoor positioning solutions.
Purpose of the Study:
- To introduce the EvAAL benchmarking framework for fair comparison of indoor positioning systems.
- To validate the EvAAL framework's capabilities using the 2016 Indoor Positioning and Indoor Navigation (IPIN) Competition.
Main Methods:
- The EvAAL framework was developed to facilitate standardized performance evaluation of indoor localization technologies.
- The 2016 IPIN Competition utilized the EvAAL framework across four tracks, covering pedestrian/robotic navigation, smartphone/custom hardware, and real-time/off-line processing.
Main Results:
- The EvAAL framework successfully accommodated diverse competition tracks, demonstrating its flexibility.
- The framework proved adequate for comparing various indoor positioning systems under realistic conditions.
Conclusions:
- The EvAAL framework shows potential as a standard for evaluating indoor localization solutions.
- Feedback from the 2016 IPIN Competition confirmed the framework's adaptability and effectiveness.
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