The competition is on! We are happy to announce that we have received 36 submissions from 32 teams spanning academia, industry, and startups!
21 teams with 22 different approaches eventually showed up for the competition. The final ranking for all teams can be found in the table below. Teams in blue belong to the infrastructure-based category, while teams in green belong to the infrastructure-free category. Congratulations to all the participants! It was a blast!
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An overview of the results along with some pictures from the event can also been found here.
* Submissions from Adler et al. and Li et al. achieved almost identical location errors (2.034m vs. 2.039m). Given the small difference, we considered this to be a tie, and according to the rules of the competition, the team that deployed the least number of anchor points wins. Li et al. deployed 5 LED lamps (out of the maximum 10 they could deploy), and were therefore awarded the second place in the infrastructure-based category.
Submission
Avg. Location Error (meters)
Overall Rank
Category Rank
0.72
1
1
M. Klepal, C. Beder (Cork Institute of Technology) MapUme – WiFi-based Localization System
1.6
2
1
1.96
3
2
L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Visible Light Localization
2.04
4
2*
S. Adler, S.Schmitt, Y. Yang, Y. Zhao, M. Kyas (Freie Universitat Berlin) FUBLoc – Accurate Range-based Indoor Localization and Tracking
2.03
5
3*
P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (CMU) ALPS: An Ultrasonic Localization System
2.09
6
4
2.22
7
3
2.35
8
5
2.58
9
6
V. Dentamaro, D. Colucci, P. Ambrosini (NextoMe) Indoor Positioning and Navigation System
2.72
10
7
A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A) An Indoor Location Solution for Mobile Devices
2.81
11
4
L. Li, G. Zhao, G. Shen, F. Zhao (Microsoft Research Asia) Indoor Localization with Multi-modalities
3.19
12
5
A. Marcaletti (ETH), D. Giustiniano (IMDEA Networks), V. Lenders (Armasuisse) Tracking of Mobile Devices with WiFi Time-of-Flight
3.47
13
6
3.71
14
7
3.83
15
8
3.87
16
9
3.96
17
10
T. Schmid, D. Lee (Greina Technologies, Inc.) High Resolution Indoor RF Ranging
4.04
18
11
4.86
19
8
5.23
20
9
8.91
21
12
10.22
22
13
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All submissions have been assigned to one of two categories depending on the requirement to deploy custom hardware or not. The list of all submissions in each category can be seen below.
All teams highlighted in green have successfully registered for the competition and will be allowed to compete. The teams highlighted in red either withdrew from the competition or did not successfully registered for the competition and will not be allowed to compete.
The time slot assigned to each team corresponds to the exact time during the evaluation day (Monday, April 14th) that this team will be evaluated. All teams are encouraged to be present at all times to learn about the competing systems and observe them in action. In any case, all teams should be in the evaluation area at least 1.5 hours prior to their assigned time slot.
Authors
Title
Time Pirkl et al. Indoor Localization Based on Resonant Oscillating Magnetic Fields 14:00 Li et al. Indoor Localization with Multi-modalities (Light) 14:20 Ashok et al. InfraRad: A Radio-Optical Beaconing Approach for Accurate Indoor Localization 12:40 Adler et al. FUBLoc – Accurate Range-based Indoor Localization and Tracking 15:40 Selavo et al. Localization Using Digitally Steerable Antennas 12:20 Bestmann et al. EasyPoint – Indoor Localization and Navigation Low Cost, Reliable and Accurate 17:00 Schmid et al. High-Resolution Indoor RF Ranging 17:40 Ehrig et al. A 60GHz System for Simultaneous Time of Flight Ranging and High-Speed Wireless Data Communication 16:40 Sark at al. A Software Defined Radio for Time of Flight Based Ranging and Localization 14:40 Taylor et al. Low-cost Hybrid Indoor Localization with Light Fixtures Kleunen et al. Locus: Space-based Indoor Positioning Lazik et al. ALPS: An Ultrasonic Localization System 15:00 Sigg et al. Passive Device-Free Indoor Localization from RSSI 11:40 Dentamaro et al. Nextome – Indoor Positioning and Navigation System 15:20 Jiang et al. HiLoc: A TDoA-Fingerprint Hybrid Indoor Localization System 17:20 Abrudan et al. IMU-Aided magneto-inductive Localization 16:00 Burgess at al. Indoo.rs (iPhone + BLE) Nikodem et al. Indoor Localization Based on Low-Power Chirp Transceivers 16:20 Sigg et al. Device-Free Indoor Localization 12:00 Yang et al. A step into mm-scale treatment! Multipath-Resistant Tracking for Mobile RFID Tags Brucato et al. Modeling and Prototyping a Personal Object Finder. The NEVERLOST Real Time Localization System Use Case -
Authors
Title
Time Ferraz et al. Ubee.in – An Indoor Location Solution for Mobile Devices 09:40 Li et al. Indoor Localization with Multi-modalities (WiFi + sensors) 10:00 Zhang et al. MaWi: A Hybrid Magnetic and Wi-Fi System for Scalable Indoor Localization 09:00 Laoudias at al. Accurate Multi-Sensor Localization on Android Devices 10:20 Klepal et al. MapUme – WiFi Based Localization System 11:40 Jiang et al. FreeLoc: Infrastructure-Free Indoor Localization GiPSTech A Novel Hybrid/Geomagnetic Field Based Technology for Indoor Navigation Zou et al. WiFi Based Indoor Localization System by Using Weighted Path Loss and Extreme Machine Learning 09:20 Xiao et al. Indoor Tracking Using Conditional Random Fields 10:40 Yun et al. Vision-Based 3D Indoor localization Marcaletti et al. Tracking of Mobile Devices with WiFi Time-Of-Flight 11:00 Burgess at al. Indoo.rs (Android + WiFI) Ghose et al. UnsupLoc – A System for infrastructure Friendly Unsupervised Indoor Localization 11:20 Quintas et al. Indoor Localization and Tracking Using 802.11 networks and Smartphones Ohrt et al. Room-Based Indoor Localization using WiFi-Fingerprinting and Machine Learning