Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

被引：55

作者：

Renaudin, Valerie ^{[1
]}

Ortiz, Miguel ^{[1
]}

Perul, Johan ^{[1
]}

Torres-Sospedra, Joaquin ^{[2
]}

Ramon Jimenez, Antonio ^{[3
]}

Perez-Navarro, Antoni ^{[4
]}

Martin Mendoza-Silva, German ^{[2
]}

Seco, Fernando ^{[3
]}

Landau, Yael ^{[5
]}

Marbel, Revital ^{[5
]}

Ben-Moshe, Boaz ^{[5
]}

Zheng, Xingyu ^{[6
]}

Ye, Feng ^{[6
]}

Kuang, Jian ^{[7
]}

Li, Yu ^{[7
]}

Niu, Xiaoji ^{[7
]}

Landa, Vlad ^{[5
]}

Hacohen, Shlomi ^{[8
,9
]}

Shvalb, Nir ^{[9
]}

Lu, Chuanhua ^{[10
]}

Uchiyama, Hideaki ^{[11
]}

Thomas, Diego ^{[12
]}

Shimada, Atsushi ^{[12
]}

Taniguchi, Rin-Ichiro ^{[12
]}

Ding, Zhenxing ^{[13
]}

Xu, Feng ^{[13
]}

Kronenwett, Nikolai ^{[14
]}

Vladimirov, Blagovest ^{[15
]}

Lee, Soyeon ^{[15
]}

Cho, Eunyoung ^{[15
]}

Jun, Sungwoo ^{[15
]}

Lee, Changeun ^{[15
]}

Park, Sangjoon ^{[15
]}

Lee, Yonghyun ^{[16
]}

Rew, Jehyeok ^{[16
]}

Park, Changjun ^{[16
]}

Jeong, Hyeongyo ^{[16
]}

Han, Jaeseung ^{[16
]}

Lee, Keumryeol ^{[16
]}

Zhang, Wenchao ^{[17
]}

Li, Xianghong ^{[17
]}

Wei, Dongyan ^{[17
]}

Zhang, Ying ^{[18
]}

Park, So Young ^{[18
]}

Park, Chan Gook ^{[19
]}

Knauth, Stefan ^{[20
]}

Pipelidis, Georgios ^{[21
]}

Tsiamitros, Nikolaos ^{[21
]}

Lungenstrass, Tomas ^{[22
]}

Pablo Morales, Juan ^{[22
]}

机构：

[1] French Inst Sci & Technol Transport Dev & Network, AME Dept, GEOLOC Lab, F-44340 Nantes, France

[2] Univ Jaume I Castello, Inst New Imaging Technol, Castellon De La Plana 12071, Spain

[3] Univ Politecn Madrid, CSIC, CAR, Madrid 28500, Spain

[4] Univ Oberta Catalunya, Internet Interdisciplinary Inst, Fac Comp Sci Multimedia & Telecommun, Barcelona 08018, Spain

[5] Ariel Univ, Dept Comp Sci, IL-40700 Ariel, Israel

[6] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China

[7] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China

[8] Ariel Univ, Dept Mech Engn, IL-40700 Ariel, Israel

[9] Ariel Univ, Dept Ind Engn & Management, IL-40700 Ariel, Israel

[10] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka 8190395, Japan

[11] Kyushu Univ, Lib Dept, Fukuoka 8190395, Japan

[12] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka 8190395, Japan

[13] State Informat Ctr, Beijing 100045, Peoples R China

[14] Karlsruhe Inst Technol, Inst Syst Optimizat, D-76131 Karlsruhe, Germany

[15] Elect & Telecommun Res Inst, Daejeon 34129, South Korea

[16] HANA MICRON, Asan 13486, South Korea

[17] Univ Chinese Acad Sci, Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China

[18] Google Inc, Mountain View, CA 94043 USA

[19] Seoul Natl Univ, Dept Mech & Aerosp Engn, Seoul 08826, South Korea

[20] Hsch Tech Stuttgart, Fac Geomat Comp Sci & Math, D-70174 Stuttgart, Germany

[21] Tech Univ Munich, Inst Informat, Software & Syst Engn Res Grp, D-80333 Munich, Germany

[22] Arara, AraraDS, Santiago 7500007, Chile

[23] Univ Ghent, Dept Informat Technol, Imec WAVES, B-9000 Ghent, Belgium

[24] PJ Safarik Univ UPJS, Fac Sci, Inst Comp Sci, Kosice 04001, Slovakia

[25] Yuan Ze Univ, Dept Elect Engn, Zhongli 32003, Taiwan

[26] MOST Joint Res Ctr AI Technol & All Vista Healthc, Taipei 10617, Taiwan

[27] Acad Sinica, Res Ctr Informat Technol Innovat, Taipei 11529, Taiwan

[28] Natl Ilan Univ, Dept Elect Engn, Yilan 26047, Taiwan

[29] Yeungnam Univ, Dept Informat & Commun Engn, Gyongsan 38541, South Korea

[30] Univ Gujrat, Fac Comp & IT, Dept Comp Sci, Gujrat 50700, Pakistan

来源：

IEEE ACCESS | 2019年 / 7卷

关键词：

IPIN; competition; indoor positioning; smartphone; SIMULTANEOUS LOCALIZATION; SLAM;

D O I：

10.1109/ACCESS.2019.2944389

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.

引用

下载

页码：148594 / 148628

页数：35

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