Microsoft indoor localization competition
Download
1 / 9

Microsoft Indoor Localization Competition - PowerPoint PPT Presentation


  • 147 Views
  • Uploaded on

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Microsoft Indoor Localization Competition' - jada-shepard


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Microsoft indoor localization competition
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.)


Microsoft indoor localization competition1
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



Infrastructure Based

Infrastructure Free

EasyPoint

Arne Bestmann, Ronne Reimann

(Lamda:4Entwicklungen GmbH)

MapUme

Martin Klepal and Christian Beder

(Cork University of Technology)

1st

1.6m error

0.7m error

$1000

Visible Light Localization

L. Li, C. Zhao, J. Shen, F. Zhao

(Microsoft Research)

Accurate Multi-Sensor Localization on Android

C. Laoudias, G. Larkou, C. Li, Y.-K. Tsai, D. Zeinalipour-Yazti, C. G. Panayiotou

(University of Cyprus)

2nd

2m error

2m error

$500

WiFi-based Indoor Localization

H. Zou, H. Jiang, L. Xie

(Nanyang Technological University)

FUBLoc

S. Adler, S. Schmitt, Y. Yang, Y. Zhao, M. Kyas

(FreieUniversitat Berlin)

3rd

2.2m error

2m error

$300

An Indoor Location Solution for Mobile Devices

A. S. Ferraz, A. G. Alvino, L. Q. L. Martins, P. A. Bello (Ubee S.A.)

ALPS: An Ultrasonic Localization System

P. Lazik, N. Rajagopal, B. Sinopoli, A. Rowe (Carnegie Mellon University)

4th

2.8m error

2.1m error

$200




Hallway

Room containing the origin point

Furniture remained the same between setup and evaluation

Room without the origin point

Furniture was rearranged between setup and evaluation


A huge thanks to
A huge THANKS to

Jie Liu

Filip Lemic

Jasper Buesch

Vlado Handziski


ad