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Microsoft Indoor Localization Competition - IPSN 2015

Accurate indoor localization has the potential to transform the way people navigate indoors in a similar way that GPS transformed the way people navigate outdoors. Over the last 15 years, several human-centric approaches to indoor localization have been proposed by both academia and industry, but we have yet to see large scale deployments. This competition aims to bring together real-time or near real-time indoor location technologies and compare their performance.

Official Results

28 teams out of the 48 teams that submitted an abstract actually showed up in Seattle for the competition. 5 teams faced technical difficulties that prevented them from getting evaluated. As a result, 23 teams were actually evaluated. The average localization error across all 20 evaluation points for each team can be seen below:

The slide deck with the final results can be found HERE.

The FULL evaluation data can be found HERE.

Official Results of the 2015 Microsoft Indoor Localization Competition

The top 3 teams in each of the two categories are as follows:

Rank  Infrastructure-Free  Infrastructure-Based 

STeAM: Sensor Tracking and Mapping European Commission (JRC)    Sanchez et al.


ALPS: AN Ultrasonic Localization Systems Lazik et al. (CMU)


SPIRIT Navigation Berkovich et al.


Time Domain Dewberry et al.


Precise Indoor Location Elias et al.


Exploring State of the Art Commercial Localization Campbell et al. (University of Michigan)



We are happy to announce that we have received 48 submissions from 44 teams this year!

Overall, 12 submissions are fully authored or co-authored from industry people. From these 12 submissions, 4 come from startups in the indoor location space. The rest 36 submissions come from academia from all over the world.

There are 30 submissions in the infrastructure-based category (systems that need to deploy custom hardware) and 17 submissions in the infrastructure-free category. However, we are considering introducing additional categories for this year’s competition. The categories and the teams within each category will be announced on this website within the next couple of days.


Competition Schedule

The competition will start on Monday April 13th and finish on Tuesday April 14th. The detailed results of the competition will be presented during the Indoor Location Panel that will take place on Wednesday April 15th from 15:30 to 16:30. The detailed schedule is as follows:

Monday April 13th 

8:00 - 8:30am            Welcome - Evaluation space and rules overview 
8:30am - 15:30  Setup Time 
15:30pm - 16:00  All teams leave the evaluation area 
16:00 - 18:30  Organizers mark down the evaluation points 
18:30 - 20:30  First evaluation wave

Tuesday April 14th 

8:00am - 12pm  Second evaluation wave
12:00pm - 13:00  Lunch
13:00 - 15:00  Third evaluation wave
17:00 - 20:00  Poster Session

Wednesday April 15th 

15:30 - 16:30  Official results are announced and the winning teams briefly present their systems during the Indoor Localization Competition Panel


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. Additional categories could be created depending on which/how many teams will actually attend the competition.

Teams in green fonts have at least one member that has officially registered for the competition. These teams will be allowed to compete. Teams in red fonts do not have any members officially registered for the competition yet. All teams in red fonts will not be allowed to compete unless at least one team member officially registers for the competition. The data below will be updated periodically. Latest update: April 12th 2015. 

Infrastructure-Free Submissions





Evaluation Time Slot 

Wen et al. UK/Australia/China - Univ. of Oxford/Queensland/New South Wales/Tongji University  Agile Indoor Positioning with Smart Glasses 



Clark et al.  UK - University of Oxford MonoVision Indoor Positioning   



Simon et al.  Hungary - University of Pannonia Multimodal Indoor Localization System



Smirnov et al. Russia - Navigine  Indoor Navigation Platform Based on Signals Fingerprinting and Aided IMU   
Wu et al.  Canada - University of Windsor Particle Filter and Extreme Learning Machine Based Indoor Localization System Tuesday 8:45am 
Zou et al.  Singapore/USA - Nanyang Technological University/UC Berkeley An Accurate and Reliable WiFi-based Indoor Localization and Navigation System 



Elias et al. Portugal - Fraunhofer Portugal Research Center Precise Indoor Location  Tuesday 8:30am
Jin et al.  China - Dalian University of Technology Indoor Localization via Multiple Sensor Fusion  
MacLachlan et al.  USA - Carnegie Mellon University Applied Indoor Localization: Map-based, Infrastructure-free, with Divergence Mitigatino and Smoothing  
Marinis et al.  Italy - DUNE srl Contextual Processing for Pedestrian Tracking in GPS-denied environments  
Kolchanov et al. Russia/USA - Skoltech/MIT A Wifi-based Localization System for Mobile Devices   
Jun et al.  India/USA/Singapore - IIT Ropar/Univ. of Cincinnati/Singapore Univ. of Technology and Design/IBM Research Robust and Undemanding WiFi-fingerprint based Indoor Localization with Independent Access Points   
Herrera et al.  Germany/Mexico - Navix Indoor Navigation Navix: Smartphone Multi-sensor, Radio and Probability Map Based Indoor Positioning. 



Yeung et al.  Switzerland/Spain - ETH/IMDEA Networks Institute/Armasuisse Tracking with WiFi Time-of-Flight and Smartphone Inertial Sensors   
Sarkar et al.  India - Tata Consulting Services An Indoor Positioning System using Step Detection and WiFi Trilateration



Aquila et al.  Italy - GIPStech Srl/University of Calabria  A Novel Hybrid/Geomagnetic Field-based Technology for Indoor Navigation   
Berkovich et al. Russia - SPIRIT Navigation SPIRIT Navigation:  Multi-Technology Indoor Localization 





Infrastructure-Based Submissions





Evaluation Time Slot 

Kuo et al.  USA - Univ. of Michigan Indoor Positioning with Mobile Phones and Visible Light 



Nasser et al.  Israel - Univ. of Haifa Home-made Tracking System using Core-sets and the Internet of (Tracking) Things   
Simon et al. Hungary - Univ. of Pannonia  LED-light based Indoor Localization System  



Schiller et al.  USA - Stony Brook University Device Free Indoor Localization Using Infrared 



Klipp et al.  Germany - Fraunhofer FOKUS Low Cost High Precision Indoor Localization System Using Inertial and Magnetic Field Sensor Data with Radio Beacons 



Zhao et al.  China - Microsoft Research Asia Indoor Localization Using BLE MIMO 


Biehl et al.  USA - FX Palo Alto Laboratory LoCo - A Framework for Supporting Highly Accurate Room-level Location Sensing 


Qiu et al.  Taiwan - National Chiao-Tung University Collaborative Localization Using Inter Particle Filter Data Fusion 



Inderst et al.  Italy - Universita degli Studi Roma/Universita Campus Bio-Medic di Roma Inertial-based Smart Indoor Localization System   
Chen et al.  Singapore/USA - Nanyang Technological University/UC Berkeley An iBeacon Assisted Indoor Localization and Tracking System 



Campbell et al.  USA - Univ. of Michigan DecaWave: Exploring State of the Art Commercial Localization



Kempke et al.  USA - Univ. of Michigan Pulse Harmonia: Decimeter-Scale Tracking of Small Indoor Objects


Dewberry et al.  USA - TimeDomain  Ultra Wideband Two Way Ranging Localization System 



Dewberry et al.  USA - TimeDomain Ultra Wideband Radar Tagless Indoor Tracking System   
Selavo et al.  Latvia - Institute of Electronics and Computer Science DiStAL: Digitally Steerable Antennas for Localization 



Shenoy et al.  India - BITS-Pilani Indoor Localization using TDOA Techniques   
Symington et al.  USA/UK - UCLA/Univ. College London Real-time Indoor Localization using Magnetic, Time of Flight, and Signal Strength Inference Maps 



Zengen et al.  Germany - TU Braunschweig InPhase: A Low Cost Indoor Localization System for IoT Devices



Pirkl et al.  Germany - DFKI Indoor Localization based on Oscillating Magnetic Fields



Mirshekari et al. USA - Carnegie Mellon University Step-Level Person Localization Through Sparse Sensing of Structural Vibration



Lazik et al.  USA - Carnegie Mellon University ALPS: An Ultrasonic Localization System Tuesday 11:15am
Liu et al. USA - University of Florida Towards Fine-grained Smartphone Localization via Low-complexity Anchors


Deora et al.  USA - Univ. of Southern California NUSBL: Non-Uniform Sequence Based Localization 



Abrudan et al.  UK - University of Oxford An Indoor Localization System using Low-frequency Magnetic Fields


Arumugam et al. USA - Jet Propulsion Lab/Caltech Two-Dimensional Magnetoquasistatic Positioning for Non-Line-of-Sight Tracking Applications    
Kotaru et al.  USA - Stanford Indoor Localization using Commercial off-the-shelf WiFi NICs.  
Bata et al. Hungary - University of Szeged Indoor Radio Interferometric Localization and Tracking



Nikodem et al.  Poland - Wroclaw Univ. of Technology/ MT-Silesia Sp. Time of Flight and Geometrical Lateration Algorithms for Accurate Indoor Positioning 



Pourhomayoun et al. USA - UCLA Low Cost Localization based on Spatial Diversity
Sanchez et al. Italy - European Commission, Joint Research Center (JRC) STeAM: Sensor Tracking and Mapping



Gunes et al. Germany - Quantitec GmbH IntraNav





Call for Contesters


Both academia and industry submissions are encouraged. All location techniques, such as ranging, fingerprinting, infrastructure, or device free, are welcome, except those that require end users’ manual measurements. Contesters can deploy their own infrastructure of up to 10 devices. Normal RF interference is expected, but no jammers for other deployments are allowed. The results must be shown on a portable device, such as a phone or a tablet/laptop that a person can easily carry around.

Demo submissions that do not meet one or more of the guidelines above will be included in the poster session and will be evaluated as a regular submission, but they will not be considered for prizes.

The competition will take place if at least 5 teams respond to this preliminary call for competition.

Competition Categories:

Depending on the nature and number of submissions multiple categories might be defined based on the accuracy (i.e., point-based vs. area based), the size, the cost, or the type (i.e., software vs. hardware) of the proposed solution. The final set of categories will be announced after the registration deadline.

Poster Session:

A poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.

Evaluation and Prize:

Results are judged based on both room/zone level accuracy and absolute accuracy, and an award will be given for the top 3 teams in each category. When accuracy ties, infrastructure requirements will be used for tie breaking. The winning team in each category will be invited to present their approach at the conference, and receive a cash award.

Submission Guidelines:

Contesters must submit an abstract describing their approach and deployment requirements by the contest registration deadline. Submissions are treated as confidential until the competition. Submissions must be at most two (2) single-spaced 8.5" x 11" pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2015 papers. Abstracts should include the names and affiliations of authors. Templates can be found here:

Submission and Registration Deadline:

  • Contest Registration and Abstract Deadline: January 15, 2015, 11:59 pm EST.
  • To register for the competition, please email your abstract to with the following subject line: 2015 Microsoft Indoor Localization Competition Submission.



Dimitrios Lymberopoulos (Microsoft Research)

Jie Liu (Microsoft Research)

Xue Yang (Intel)

Ayman Naguib (Qualcomm)

Anthony Rowe (CMU)

Niki Trigoni (Univ. of Oxford)

Nader Moayeri (NIST)

News - Latest Updates

04/17/2015: The detailed results of the 2015 Competition have been posted!

04/02/2015: The detailed schedule of the competition has been posted. Evaluation time slots have been assigned to each officially registered team.

02/23/2015: The competition will take place on Monday April 13th and Tuesday April 14th. More details can be found here.

02/03/2015: Registration for the competition is now open! Contestants should register for the Indoor Localization Competition listed under Workshops. Lower registration fees are available for non-contestants that simply want to observe the competition. Observers should choose the Competition Observer registration that is listed right below the Workshops section in the registration page.  

02/03/2015: Details on the evaluation area and the logistics of the competition have been made available here.

01/22/2015: The competition categories and the teams in each category have been announced.

01/19/2015: The competition is on with 48 submissions from 44 teams!

Contact Information

For more information and clarification, you can contact Dimitrios Lymberopoulos (

Previous Competitions

 2014 Indoor Localization Competition

Check the 2014 competition's website above to get a better idea of the evaluation setup, the type of systems expected, and pictures of the different teams in action!