April 18, 2017 –
April 19, 2017
2017 Microsoft Indoor Localization Competition @ IPSN 2017
Location: Pittsburgh, PA, USA
29 indoor location systems from 27 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 (14 submissions) and Infrastructure-Based (15 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 will be allowed to participate. Teams that have not been assigned an evaluation time slot have NOT officially registered for the competition as of 03/28/2017 and will not be allowed to participate.
Infrastructure-Free (2D Localization)
| Authors | Affiliation | Title | Evaluation Time Slot |
| Ben-Moshe et al. | Israel – Ariel University | GoIn: An Accurate Indoor Navigation Framework for Mobile Devices | 11:00 |
| Liao et al.. | Taiwan – Aquaways CO. Ltd. | Indoor Localization using Broadcasting FM Signals TDOA triangulation | N/A |
| Sadhu et al. | USA – Rutgers University, Department of Homeland Security | CollabLoc: Infrastructure-free Privacy-preserving Localization via Collaborative Information Fusion | 09:00 |
| Castro et al.. | Portugal – Fraunhofer Portugal Research Center | Precise Indoor Location | 09:20 |
| Castro et al. | Portugal – Fraunhofer Portugal Research Center | Precise Indoor Location Through Multiple Devices | 09:40 |
| Ju et al.. | Korea – Seoul National University | Pedestrian Dead Reckoning System Considering Actual Condition of the Foot-mounted IMU | 10:00 |
| Cutri et al. | Italy – GiPStech s.r.l | A Hybrid Geomagnetic Field Indoor Localization Technology | N/A |
| Li et al.. | China – Jinkun Innovation Technology Co., Ltd | Accurate Indoor Localization and Navigation System | N/A |
| Jia et al. | China – Baidu | Fingerprint Location Method Based on WiFi and Geomagnetism Fusion | N/A |
| Zheng et al.. | China – Huawei | Dolphin Indoor Localization System based on Hidden Markov Model | N/A |
| Li et al. | Canada – McMaster University | Robot-assisted Fingerprint-based Indoor Localization | 10:20 |
| Su et al.. | Taiwan – National Taiwan University of Science and Technology | Implementing an iBeacon Indoor Positioning System using Ensemble Learning Algorithm | 11:40 |
| Liddel et al | Iceland – Locatify | Automatic Museum Guide by Locatify | N/A |
| Kikuchi et al.. | Japan – Iwate University | DOD-based Indoor Localization using BLE Beacons | 10:40 |
| Wu et al | China – Glodon Software Co., Ltd | Indoor Positioning using WiFi Fingerprinting and Inertial Sensors | 11:20 |
Infrastructure-Based (3D Localization)
| Authors | Affiliation | Title | Eval. Time Slot |
| Wang et al. | Canada – McMaster University | Indoor Localization System with Asynchronous Acoustic Beacon | 11:40 |
| Lin et al.. | China | Low-cost, High-Accuracy Indoor Positioning | N/A |
| Chen et al. | Saudi Arabia/Ireland – King Abdullah University of Science and Tech., University College Dublin | KAUST Acoustic Positioning System | 12:00 |
| Acton et al.. | USA – ARIN Technologies | Scalable, Low-cost Indoor Localization System using TDoA and UWB | 13:40 |
| Beuchat et al. | Switzerland/UK – ETH, Embotech, Hexagon Mining, Aerospace Systems | UWB-based Indoor Localization | 14:00 |
| Franzel et al.. | Germany – Fraunhofer Institute of Optronics, Schmalkalden University of Applied Science | A Wireless Ad Hoc Localization System | N/A |
| Cheng et al. | USA – Kiwii Power Technology Corporation | Real Time Indoor Locating System based on UWB and Machine Learning | 14:20 |
| Xia et al.. | USA – M2Robots Inc. | Low-cost, User-friendly, Indoor Localization Device | 14:40 |
| Singh et al. | Switzerland – ETH | IR-UWB based Indoor Localization System | N/A |
| Gunes et al.. | Germany – Quantitec GmbH | IntraNav – Low-cost Indoor Localization System and IoT Platform | N/A |
| Hemamali et al. | India – Trakray Pvt. Ltd. | Low Power UWB 3D Positioning System | 15:00 |
| Bjornsson et al.. | Iceland – Locatify | Locatify UWB Solution | N/A |
| Zhu et al. | Singapore/China – Kuncen Technology PTE. Ltd., University of Electronics Science and Technology of China | Ultra Precise Location SYstem based on UWB Sparse Pulses | N/A |
| Snyder et al.. | USA – Astrobotic | AstroNav: Robust, High Rate SLAM for Planetary Exploration | 15:20 |
| Zhang et al.. | USA – Kaarta | Compact, Real-time Localization without Reliance on Infrastructure | 15:40 |