Competitors

Competing Teams

October 4-7, 2016 - University of Alcalá, Alcalá de Henares, Madrid, Spain

Track 1 - Smartphone-based

Team Name

WiMag

Corresponding Author

Haiyong Luo

Affiliation

Institute of Computing Technology Chinese Academy of Sciences; Beijing University of Posts and Telecommunications

Description

The WiMag indoor localization system combines magnetic fingerprint matching, INS, altitude measurement, Wi-Fi fingerprint and particle filter together. WiMag is a lowcost, practical and accurate indoor localization system which only relies on Wi-Fi signals and enabled sensors in smartphones. In WiMag, the Wi-Fi fingerprint is exploited to estimate target’s initial or coarse location. We construct the three-dimensional magnetic fingerprint instead of the traditional one-dimensional magnetic amplitude fingerprint. The three-dimensional magnetic fingerprint contains higher space discernibility compared with the magnetic amplitude fingerprint. The weights of the particles are computed based on the DTW similarity between the online-collected three-dimensional magnetic fingerprints of one step and the training fingerprints corresponding to the same space area. The position estimation obtained by the particle filter is also calibrated by the position estimation obtained by a long-distance magnetic trajectory matching positioning when available and necessary.

Link to paper in the conference proceedings

Team Name

XMUH

Corresponding Author

Lingxiang Zheng Ao Peng

Affiliation

Xiamen University, Xiamen, China

Description

The system collects data using the accelerometer, gyroscope and gravity sensors embedded in the smartphone. The accelerometer and gravity data are used for zero-velocity detection and calculating the vertical displacement of each walking step, and then the inverted pendulum model is applied to calculate the step length of every step. The angle of direction is estimated by processing gyroscope data with the quaternion method. The step length and the direction angle of each step are combined to determine the coordinates of each step. A Kalman filter is used in zero-velocity-update (ZUPT) to reduce the vertical speed offset caused by accelerometer drift errors.

Link to paper in the conference proceedings

Team Name

xposition

Corresponding Author

Zhongliang Zhao

Affiliation

Institute of Computer Science, University of Bern, Switzerland

Description

In this work, we present a real-time precise indoor localization approach that exploits WiFi Receiving Signal Strength Indicator (RSSI) readings, IMUs, and floor plan information by fusing them in an enhanced particle filter. The algorithms are designed and implemented into a terminal-based system, which uses commercial smart-phones and WiFi access points. Our approach can achieve an average tracking error of 1 meter and 90% accuracy is 1.7 meters.

Link to paper in the conference proceedings

Team Name

Accurate Dual-foot Micro-inertial Navigation System with Inter-agent Ranging

Corresponding Author

ZhouLing Xiao et al.

Affiliation

University of Electronic Science and Technology of China, China

Description

To address the problem of accurate navigation without relying on additional infrastructures, this work proposes an accurate dual-foot micro-inertial autonomous navigation system. By fusing the ranging measurements between two feet, the proposed system can significantly reduce the accumulated error of inertial measurement units (IMUs) and the initial estimated error in navigation frame which improve the tracking accuracy and robustness.

Link to paper in the conference proceedings

Team Name

Pedestrian Dead Reckoning Based on a Kinematic of Human Activity Classification by Using Multi-MEMS sensors for 3D positioning

Corresponding Author

Jihoon Yang

Affiliation

Dept of EEE, Univ. of Surrey, UK

Description

Link to paper in the conference proceedings

Team Name

Marauder’s Map

Corresponding Author

Ta Viet Cuong, Dominique Vaufreydaz, Dao Trung Kien, Eric Castelli

Affiliation

Pervasive Interaction/LIG, CNRS, University of Grenoble-Alpes, Inria, France
MICA Institute (HUST-CNRS/UMI2954-Grenoble INP), Hanoi University of Science and Technology, Vietnam

Description

In our approach, the path-reconstruction process is split into several smaller tasks, including building identification, floor identification, user direction and speed inference. For each task, a specific set of sensors from the smartphone log data is used. Then, numerical and learning approaches are applied to extract the information of interest from the sensors' data stream. Evaluation based on the provided data is carried out using a cross validation scheme. To produce the robustness again noisy data, we combine several approaches into one on the basis of their testing results. By testing on the provided training data, we have a good accuracy on building and floor identification. Within the floor, the performance is 7.5m error distance of 75-percentile for around 3 minutes approximation.

Link to paper in the conference proceedings

Team Name

Indoor Localization using Visible Light

Corresponding Author

Siu Wai Ho

Affiliation

University of South Australia and City University of Hong Kong

Description

Our positioning system uses simple hardware like Light Emitting Diodes (LEDs) and Photo-Detectors (PDs). Depending on the applications and scenarios, visible light or infra-red LEDs and PDs can be used. Our receiver consists of multiple PDs pointing to different directions for measuring the received light intensity. Based on these measurement, our special algorithm can estimate a ray connecting an LED and a receiver. The intersection of these rays provides the estimated receiver position.
Link to paper in the conference proceedings

Team Name

TOPOrtls TPM

Corresponding Author

Siarhei Huba

Affiliation

R&D Dept, TopoRTLS. Minsk, Belarus/Sandwich,MA,USA

Description

TPM is a three dimensional (can be used as 2D as well) positioning equipment based on DWM1000 UWB module by DecaWave. TPM works on anchor\tag basis. Anchors have to be installed and initiated prior a measurement. Each anchor exact location has to be used for tag position calculation, although self-positioning option is available for easier and not as accurate measurements. Tag position calculation is done with ToA (time of arrival) analytics method.
Link to paper in the conference proceedings

Team Name

Aidloc: A high acoustic smartphone indoor localization system with NLOS identification and mitigation

Corresponding Author

Zhang Lei

Affiliation

School of Control Science & Engineering, Zhejiand University, China.

Description

Aidloc is an acoustic indoor localization system based on acoustic ranging which is very convenient for smartphone positioning. For the aim of smartphone indoor localization without modify the hardware, we succeed to develop this smartphone indoor localization prototype system by taking advantage of the low transmission speed of acoustic and high robustness of chirp signal. To improve positioning precision and realize NLOS identification and mitigation, a new approach for NLOS problem and TDOA estimation based on FrFT is proposed, and the main idea of this approach is using indoor environment multipath characteristics estimated by IEMCE algorithm.
Link to paper in the conference proceedings

Team Name

Locate-US: an Ultrasonic Local Positioning System based on Encoded Beacons (Out of Competition)

Corresponding Author

Jesús Ureña

Affiliation

School of Control Science & Engineering, Zhejiand University, China.

Description

LOCATE-US is a low-cost ultrasonic local positioning system (U-LPS) for fine-grained indoor positioning of portable devices, such as smartphones or tablets, in order to offer Location Based Services (LBS) such as augmented reality, guidance or multimedia services. It uses encoded signals to obtain a more accurate determination of difference of times of arrival (DTOA), as well as high immunity to noise and robustness against multipath effect and near-far effect.
Link to paper in the conference proceedings