ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Comparing the Performance of Indoor Localization Systems through the EvAAL Framework
Cited 65 time in scopus Download 121 time Share share facebook twitter linkedin kakaostory
저자
Francesco Potorti, 박상준, Antonio Jimenez Ruiz, Paolo Barsocchi, Michele Girolami, Antonino Crivello, 이소연, 임재현, Joaquin Torres-Sospedra, Fernando Seco, Raul Montoliu, German Mendoza-Silva, Maria Rubio, Cristina Losada-Gutierrez, Felipe Espinosa, Javier Macias-Guarasa
발행일
201710
출처
Sensors, v.17 no.10, pp.1-28
ISSN
1424-8220
출판사
MDPI AG
DOI
https://dx.doi.org/10.3390/s17102327
협약과제
17HS5100, 보행자 위치공간 인지 증강 및 스포츠 경기력 분석을 위한 정밀측위 원천기술개발, 박상준
초록
In recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social impact and their impressive business potential. Application areas include tracking and navigation, activity monitoring, personalized advertising, Active and Assisted Living (AAL), traceability, Internet of Things (IoT) networks, and Home-land Security. In spite of the numerous research advances and the great industrial interest, no canned solutions have yet been defined. The diversity and heterogeneity of applications, scenarios, sensor and user requirements, make it difficult to create uniform solutions. From that diverse reality, a main problem is derived that consists in the lack of a consensus both in terms of the metrics and the procedures used to measure the performance of the different indoor localization and navigation proposals. This paper introduces the general lines of the EvAAL benchmarking framework, which is aimed at a fair comparison of indoor positioning systems through a challenging competition under complex, realistic conditions. To evaluate the framework capabilities, we show how it was used in the 2016 Indoor Positioning and Indoor Navigation (IPIN) Competition. The 2016 IPIN competition considered three different scenario dimensions, with a variety of use cases: (1) pedestrian versus robotic navigation, (2) smartphones versus custom hardware usage and (3) real-time positioning versus off-line post-processing. A total of four competition tracks were evaluated under the same EvAAL benchmark framework in order to validate its potential to become a standard for evaluating indoor localization solutions. The experience gained during the competition and feedback from track organizers and competitors showed that the EvAAL framework is flexible enough to successfully fit the very different tracks and appears adequate to compare indoor positioning systems.
본 저작물은 크리에이티브 커먼즈 저작자 표시 (CC BY) 조건에 따라 이용할 수 있습니다.
저작자 표시 (CC BY)