Presentation is loading. Please wait.

Presentation is loading. Please wait.

Microsoft Indoor Localization Competition

Similar presentations


Presentation on theme: "Microsoft Indoor Localization Competition"— Presentation transcript:

1 Microsoft Indoor Localization Competition
36 submissions from 32 teams 21 teams with 22 systems eventually participated Academia, Industry, Startups Submissions were classified into two categories Infrastructure-free (9 teams) No hardware deployment WiFi and sensors (accelerometer, gyro, etc.) Infrastructure-based (13 teams) Custom hardware deployment (magnetic, custom RF, light-based, etc.)

2 Microsoft Indoor Localization Competition
2-day event Day 1: Sunday Teams were given 7 hours to setup and calibrate their systems Day 2: Monday Each team was asked to provide the coordinates of 20 test points Test points’ coordinates were manually measured using laser range finders Evaluation Metric Average localization error across the 20 test points

3

4 Microsoft Indoor Localization Competition

5 Infrastructure Free Infrastructure Based
MapUme Martin Klepal and Christian Beder (Cork University of Technology) 1.6m error EasyPoint Arne Bestmann, Ronne Reimann (Lamda:4 Entwicklungen GmbH) 0.7m error 1st $1000 Accurate Multi-Sensor Localization on Android C. Laoudias, G. Larkou, C. Li, Y.-K. Tsai, D. Zeinalipour-Yazti, C. G. Panayiotou (University of Cyprus) 2m error Visible Light Localization L. Li, C. Zhao, J. Shen, F. Zhao (Microsoft Research) 2m error 2nd $500 WiFi-based Indoor Localization H. Zou, H. Jiang, L. Xie (Nanyang Technological University) 2.2m error FUBLoc S. Adler, S. Schmitt, Y. Yang, Y. Zhao, M. Kyas (Freie Universitat Berlin) 2m error 3rd $300 An Indoor Location Solution for Mobile Devices A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A.) 2.8m error ALPS: An Ultrasonic Localization System P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (Carnegie Mellon University) 2.1m error 4th $200

6 Automated Evaluation Process
Competitor Manual Automated EasyPoint 0.72 m 0.72 m [20 points] MapUme 1.56 m 1.71 m [18 points]

7 Evaluation point impact

8 Room without the origin point Room containing the origin point Hallway
Furniture was rearranged between setup and evaluation Room containing the origin point Furniture remained the same between setup and evaluation Hallway

9 A huge THANKS to Jie Liu Vlado Handziski Filip Lemic Jasper Buesch


Download ppt "Microsoft Indoor Localization Competition"

Similar presentations


Ads by Google