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.
- 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)
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!
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.
The top 3 teams in each of the two categories are as follows:
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.
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.
|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|
|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|
|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|
Evaluation Time Slot
|Kuo et al.||USA – Univ. of Michigan||Indoor Positioning with Mobile Phones and Visible Light||Tuesday9:30am|
|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||Monday18:45|
|Schiller et al.||USA – Stony Brook University||Device Free Indoor Localization Using Infrared||Monday19:00|
|Klipp et al.||Germany – Fraunhofer FOKUS||Low Cost High Precision Indoor Localization System Using Inertial and Magnetic Field Sensor Data with Radio Beacons||Monday19:15|
|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||Monday19:30|
|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||Tuesday9:00am|
|Campbell et al.||USA – Univ. of Michigan||DecaWave: Exploring State of the Art Commercial Localization||Tuesday9:15am|
|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||Tuesday9:45am|
|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||Tuesday10am|
|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||Tuesday10:15am|
|Zengen et al.||Germany – TU Braunschweig||InPhase: A Low Cost Indoor Localization System for IoT Devices||Tuesday10:30am|
|Pirkl et al.||Germany – DFKI||Indoor Localization based on Oscillating Magnetic Fields||Tuesday10:45am|
|Mirshekari et al.||USA – Carnegie Mellon University||Step-Level Person Localization Through Sparse Sensing of Structural Vibration||Tuesday11:00am|
|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||Tuesday11:30am|
|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||Tuesday13:15|
|Nikodem et al.||Poland – Wroclaw Univ. of Technology/ MT-Silesia Sp.||Time of Flight and Geometrical Lateration Algorithms for Accurate Indoor Positioning||Tuesday13:30|
|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||Tuesday13:45|
|Gunes et al.||Germany – Quantitec GmbH||IntraNav||Tuesday14:00|
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.
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.
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.
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.