Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse

The performance of indoor localization methods is highly dependent on the situations in which they are used. Various competitions on indoor localization have been held for fairly comparing the existing indoor localization methods in shared and controlled testing environments. However, it is difficul...

Full description

Bibliographic Details
Main Authors: Ryosuke Ichikari, Katsuhiko Kaji, Ryo Shimomura, Masakatsu Kourogi, Takashi Okuma, Takeshi Kurata
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
xDR
Online Access:https://www.mdpi.com/1424-8220/19/4/763
id doaj-713e927999b3494d8c033aa7ce69d1c8
record_format Article
spelling doaj-713e927999b3494d8c033aa7ce69d1c82020-11-25T01:32:50ZengMDPI AGSensors1424-82202019-02-0119476310.3390/s19040763s19040763Off-Site Indoor Localization Competitions Based on Measured Data in a WarehouseRyosuke Ichikari0Katsuhiko Kaji1Ryo Shimomura2Masakatsu Kourogi3Takashi Okuma4Takeshi Kurata5National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, JapanFaculty of Information Science, Aichi Institute of Technology, Toyota 470-0392, JapanNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, JapanNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, JapanNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, JapanNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, JapanThe performance of indoor localization methods is highly dependent on the situations in which they are used. Various competitions on indoor localization have been held for fairly comparing the existing indoor localization methods in shared and controlled testing environments. However, it is difficult to evaluate the practical performance in industrial scenarios through the existing competitions. This paper introduces two indoor localization competitions, which are named the “PDR Challenge in Warehouse Picking 2017„ and “xDR Challenge for Warehouse Operations 2018„ for tracking workers and vehicles in a warehouse scenario. For the PDR Challenge in Warehouse Picking 2017, we conducted a unique competition based on the data measured during the actual picking operation in an actual warehouse. We term the dead-reckoning of a vehicle as vehicle dead-reckoning (VDR), and the term “xDR„ is derived from pedestrian dead-reckoning (PDR) plus VDR. As a sequel competition of the PDR Challenge in Warehouse Picking 2017, the xDR Challenge for Warehouse Operations 2018 was conducted as the world’s first competition that deals with tracking forklifts by VDR with smartphones. In the paper, first, we briefly summarize the existing competitions, and clarify the characteristics of our competitions by comparing them with other competitions. Our competitions have the unique capability of evaluating the practical performance in a warehouse by using the actual measured data as the test data and applying multi-faceted evaluation metrics. As a result, we successfully organize the competitions due to the many participants from many countries. As a conclusion of the paper, we summarize the findings of the competitions.https://www.mdpi.com/1424-8220/19/4/763pedestrian dead-reckoning (PDR)vehicle dead-reckoning (VDR)xDRwarehouseindoor localization competitionPDR ChallengexDR ChallengeIPINforklifts
collection DOAJ
language English
format Article
sources DOAJ
author Ryosuke Ichikari
Katsuhiko Kaji
Ryo Shimomura
Masakatsu Kourogi
Takashi Okuma
Takeshi Kurata
spellingShingle Ryosuke Ichikari
Katsuhiko Kaji
Ryo Shimomura
Masakatsu Kourogi
Takashi Okuma
Takeshi Kurata
Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
Sensors
pedestrian dead-reckoning (PDR)
vehicle dead-reckoning (VDR)
xDR
warehouse
indoor localization competition
PDR Challenge
xDR Challenge
IPIN
forklifts
author_facet Ryosuke Ichikari
Katsuhiko Kaji
Ryo Shimomura
Masakatsu Kourogi
Takashi Okuma
Takeshi Kurata
author_sort Ryosuke Ichikari
title Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
title_short Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
title_full Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
title_fullStr Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
title_full_unstemmed Off-Site Indoor Localization Competitions Based on Measured Data in a Warehouse
title_sort off-site indoor localization competitions based on measured data in a warehouse
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-02-01
description The performance of indoor localization methods is highly dependent on the situations in which they are used. Various competitions on indoor localization have been held for fairly comparing the existing indoor localization methods in shared and controlled testing environments. However, it is difficult to evaluate the practical performance in industrial scenarios through the existing competitions. This paper introduces two indoor localization competitions, which are named the “PDR Challenge in Warehouse Picking 2017„ and “xDR Challenge for Warehouse Operations 2018„ for tracking workers and vehicles in a warehouse scenario. For the PDR Challenge in Warehouse Picking 2017, we conducted a unique competition based on the data measured during the actual picking operation in an actual warehouse. We term the dead-reckoning of a vehicle as vehicle dead-reckoning (VDR), and the term “xDR„ is derived from pedestrian dead-reckoning (PDR) plus VDR. As a sequel competition of the PDR Challenge in Warehouse Picking 2017, the xDR Challenge for Warehouse Operations 2018 was conducted as the world’s first competition that deals with tracking forklifts by VDR with smartphones. In the paper, first, we briefly summarize the existing competitions, and clarify the characteristics of our competitions by comparing them with other competitions. Our competitions have the unique capability of evaluating the practical performance in a warehouse by using the actual measured data as the test data and applying multi-faceted evaluation metrics. As a result, we successfully organize the competitions due to the many participants from many countries. As a conclusion of the paper, we summarize the findings of the competitions.
topic pedestrian dead-reckoning (PDR)
vehicle dead-reckoning (VDR)
xDR
warehouse
indoor localization competition
PDR Challenge
xDR Challenge
IPIN
forklifts
url https://www.mdpi.com/1424-8220/19/4/763
work_keys_str_mv AT ryosukeichikari offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
AT katsuhikokaji offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
AT ryoshimomura offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
AT masakatsukourogi offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
AT takashiokuma offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
AT takeshikurata offsiteindoorlocalizationcompetitionsbasedonmeasureddatainawarehouse
_version_ 1725079409937874944