April 10, 2018 – April 11, 2018

Microsoft Indoor Localization Competition – IPSN 2018

Location: Porto, Portugal

34 indoor location systems from 31 teams have registered to participate to the competition. Given the type and number of submissions we received, we had to classify all teams in two categories similarly to the previous years: Infrastructure-Free (12 submissions) and Infrastructure-Based (22 submissions) systems. A list of all the teams in each of the categories is provided below.

All teams that have been assigned an evaluation time slot have at least one member officially registered. Teams that have not been assigned an evaluation time slot will not be allowed to compete during the competition. The data in the table below reflects registrations as of March 20th 2018.

Infrastructure-Free (2D Localization)

Authors Affiliation Title Evaluation Time Slot
Qu et al. China – Tongji University/Naviguy Inertial Sensing Approach for Indoor Localization 8:30-8:45
Qu et al.. China – Tongji University/Naviguy Precise Indoor Localization Fusion System 8:45-9:00 
Ben-Moshe et al. Israel – Ariel University GoIn – An Accurate InDoor Navigation Framework for Mobile Devices 10-10:15
Ben-Moshe et al.. Israel – Ariel University Steps – An Accurate Relative Positioning Method for First-Responders 10:15-10:30
Martinez et al. Spain – Universidad de Castilla-La Mancha An Indoor Localization System Based on Particle Filters and Real-Time Range-Free Estimation Method N/A
Zhang et al.. China – Tianjin University Implementation of Real-Time Pedestrian Navigation System using Foot-Mounted IMU N/A
Joshi et al. India – IIT Delhi PDR-RSS Based Indoor Localization N/A
Rea et al.. Spain – IMDEA Networks Institute TWINS: Time-of-Flight Based Wireless Indoor Navigation System 9-9:15 
Xu et al. China – Nokia/Tongji university/Naviguy/Ruijie Networks Indoor Localization Based on CSI and Mobile Sensors 9:15-9:30 
Fineway et al.. China – Beijing Fineway Technology Ltd. Co. An Inertial Sensor-based Indoor Location Tracking Solution 9:30-9:45 
Ali et al. South Korea – Yeungnam University Infrastructure-free Indoor Positioning System Using Smart Phone Sensors 9:45-10
Jia et al.. China – Center for Indoor Positioning Studies Geomagnetism and WiFi Fingerprint Fusion Based Indoor Location N/A

Infrastructure-Based (3D Localization)

Authors Affiliation Title Eval. Time Slot
Lin et al. China – China Academy of Electronics and Information Tech./Beijing Institute of Technology VL-Loc: An Indoor Localization System Based on Mobile Phone and Illumination Facility 15:30-15:45
Li et al.. China – ElegenTech Co./Nanjing University of Aeronautics and Astronautics A Low Cost 3D Positioning Solution of High Accuracy and High Refresh Rate for Robot Control 10:30-10:45 
Kukovyakina et al. Russia – National Research University MPEI SKM: low-cost precise positioning based on TDoA UWB and MEMS IMU 10:45-11
Huang et al. China – Zhejiang University AALOC: An Accurate Acoustic Indoor Localization System 11-11:15
Chen et al.. China/U.K. – Zhejiang University/University of West London AIDLOC: An Accurate Acoustic 3D Indoor Localization System 11:15-11:30
Zhang et al. China/U.K. – Zhejiang University/University of West London MAIDLOC: A Modified Accurate Acoustic Indoor Localization System 11:30-11:45
Schroder et al.. Germany – TU Braunschweig InPhase: No-Cost Phase-Based Ranging and Localization 11:45-12 
Ansell et al. U.K. – RaceLogic Indoor Positioning System for Highly Dynamic Applications 12-12:15 
Zhang et al.. China/U.K. – Zhejiang University/ University of West London RA2LOC: A Robust Accurate Acoustic Indoor Localization System 12:15-12:30
Tiemann et al. Germany – TU Dortmund University ATLAS: TDOA-based UWB Localization 14-14:15 
Gunes et al.. Germany – Quantitec GmbH IntraNav – Low-cost Indoor Localization System and IoT Platform N/A
Gao et al. China – SND Smart Ltd. Com./ATE Electronics Ltd. Com. NavInThings – An Indoor Localization and Navigation System based on UWB 14:15-14:30
Collier et al.. France – INTELLIDOM UWB-Based Indoor Localization System 15:45-16:00 
Sardar et al. India/South Africa – IIT Hyderabad/University of Cape Town Indoor Localization System Based on Commensal Radar Principle N/A
Chen et al.. Saudi Arabia – King Abdullah University of Science and Technology KAUST Acoustic Positioning System N/A
De et al.. USA – UIUC Finding by Counting – A Packet Count Based Indoor Localization Technique Using BLE Sensors N/A
Li et al.. Canada – McMaster University 3D Indoor Localization with Commercial-off-the-shelf UWB Radios 14:30-14:45
Strachen et al.. USA – University of Wisconsin-Madison Accurate Indoor Navigation with Spinning Magnets N/A
Iqbal et al.. Pakistan – National University of Sciences and Technology RSSI Based Indoor Localization Using RF Beacons N/A
Lazik et al.. USA – CMU ALPS: The Acoustic Location Processing System 15:15-15:30
Miller et al.. USA – CMU Realty and Reality: Where Location Matters 14:45-15
Schmitz et al.. Germany – RWTH Aachen University/Roboter Club Aachen e.V. Ultrasound-based Cooperative Indoor Localization for Robotic Applications 15-15:15