default search action
IPIN 2017: Sapporo, Japan
- 2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017, Sapporo, Japan, September 18-21, 2017. IEEE 2017, ISBN 978-1-5090-6299-7
- Charles-Ivan Chesneau, Mathieu Hillion, Jean-François Hullo, Guillaume Thibault
, Christophe Prieur:
Improving magneto-inertial attitude and position estimation by means of a magnetic heading observer. 1-8 - Toni Fetzer, Frank Ebner, Frank Deinzer, Marcin Grzegorzek
Recovering from sample impoverishment in context of indoor localisation. 1-8 - Noori BniLam
Adaptive probabilistic model using angle of arrival estimation for IoT indoor localization. 1-7 - Antonio Ramón Jiménez, Fernando Seco:
Finding objects using UWB or BLE localization technology: A museum-like use case. 1-8 - Yichen Du, Tughrul Arslan:
Magnetic field indoor positioning system based on automatic spatial-segmentation strategy. 1-8 - Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns. 1-6 - Simon Schmitt, Larissa Zech, Katinka Wolter, Thomas Willemsen, Harald Sternberg, Marcel Kyas
Fast routing graph extraction from floor plans. 1-8 - Akinori Asahara:
Decomposition of pedestrian flow heatmap obtained with monitor-based tracking. 1-8 - Jose Miguel Menendez, Heidi Steendam
Influence of the aperture-based receiver orientation on RSS-based VLP performance. 1-7 - Jovan Powar
Assessing the impact of multi-channel BLE beacons on fingerprint-based positioning. 1-8 - Jeonghee Ahn, Dongsoo Han:
Crowd-assisted radio map construction for Wi-Fi positioning systems. 1-8 - Boney Labinghisa, Gu Sam Park, Dong Myung Lee:
Improved indoor localization system based on virtual access points in a Wi-Fi environment by filtering schemes. 1-7 - Wojciech Jaworski, Pawel Wilk, Pawel Zborowski, Witold Chmielowiec, Andrew YongGwon Lee, Abhishek Kumar:
Real-time 3D indoor localization. 1-8 - Rafael Berkvens
Signal strength indoor localization using a single DASH7 message. 1-7 - Fernando Seco, Antonio Ramón Jiménez:
Autocalibration of a wireless positioning network with a FastSLAM algorithm. 1-8 - Karthikeyan Gururaj, Anojh Kumaran Rajendra, Yang Song, Choi Look Law, Guofa Cai:
Real-time identification of NLOS range measurements for enhanced UWB localization. 1-7 - Hannes Plank, Theresa Egger, Christoph Steffan, Christian Steger
High-performance indoor positioning and pose estimation with time-of-flight 3D imaging. 1-8 - Håkan Carlsson
On-the-fly geometric calibration of inertial sensor arrays. 1-6 - Simon Tomazic, Igor Skrjanc:
Bluetooth localization based on fuzzy models and particle swarm optimization. 1-8 - Caifa Zhou, Yang Gu:
Joint positioning and radio map generation based on stochastic variational Bayesian inference for FWIPS. 1-10 - Julien Le Scornec
Foot-mounted pedestrian navigation reference with tightly coupled GNSS carrier phases, inertial and magnetic data. 1-8 - Valerio Magnago, Luigi Palopoli, Roberto Passerone, Daniele Fontanelli
A nearly optimal landmark deployment for indoor localisation with limited sensing. 1-8 - Enfu Liu, Kanji Tanaka, Xiaoxiao Fei:
Grammar-based map parsing for view invariant map descriptor. 1-8 - Kenneth Batstone, Magnus Oskarsson
Towards real-time time-of-arrival self-calibration using ultra-wideband anchors. 1-8 - F. Taia Alaoui, Valérie Renaudin
Points of interest detection for map-aided PDR in combined outdoor-indoor spaces. 1-8 - Namkyoung Lee
Magnetic indoor positioning system using deep neural network. 1-8 - David Caruso, Alexandre Eudes, Martial Sanfourche, David Vissière, Guy Le Besnerais:
An inverse square root filter for robust indoor/outdoor magneto-visual-inertial odometry. 1-8 - Manash Pratim Das, Gaurav Gardi, Jayanta Mukhopadhyay:
5-DoF monocular visual localization over grid based floor. 1-7 - Tomasz Jankowski, Maciej Nikodem
Synchronization-free TDoA localization method for large scale wireless networks. 1-6 - Philipp Rapp, Dominik Esslinger, Oliver Sawodny, Cristina Tarín:
Experimental validation for opto-acoustic distance measurement based on code division multiple access amplitude modulation and differential carrier phase estimation. 1-8 - Yu-Ting Wang, Jun Li, Rong Zheng, Dongmei Zhao:
ARABIS: An asynchronous acoustic indoor positioning system for mobile devices. 1-8 - Arief Affendi Juri, Tughrul Arslan, Yichen Du:
Isolated beacon identification using statistical approach. 1-7 - Stijn Denis, Rafael Berkvens
Multi-frequency sub-1 GHz radio tomographic imaging in a complex indoor environment. 1-8 - Daniel Knobloch:
Practical challenges of particle filter based UWB localization in vehicular environments. 1-5 - Tomoya Honto, Yoshihiro Sugaya, Tomo Miyazaki
Analysis of floor map image in information board for indoor navigation. 1-7 - Chenhe Li, Qiang Xu, Zhe Gong, Rong Zheng:
TuRF: Fast data collection for fingerprint-based indoor localization. 1-8 - Khanh Nguyen-Huu, KyungHo Lee, Seon-Woo Lee:
An indoor positioning system using pedestrian dead reckoning with WiFi and map-matching aided. 1-8 - Marouan Mizmizi
Binary fingerprinting-based indoor positioning systems. 1-6 - Duc Viet Le, Paul J. M. Havinga:
SoLoc: Self-organizing indoor localization for unstructured and dynamic environments. 1-8 - Vighnesh Gharat, Elizabeth Colin
Indoor performance analysis of LF-RFID based positioning system: Comparison with UHF-RFID and UWB. 1-8 - Georgios Pipelidis, Omid Reza Moslehi Rad, Dorota Iwaszczuk
A novel approach for dynamic vertical indoor mapping through crowd-sourced smartphone sensor data. 1-8 - Kersane Zoubert-Ousseni, Christophe Villien, François Le Gland:
Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements. 1-8 - Takayuki Akiyama
Time-of-arrival-based smartphone localization using visible light communication. 1-7 - Alessio Canepa, Zeynab Talebpour, Alcherio Martinoli
Automatic calibration of ultra wide band tracking systems using a mobile robot: A person localization case-study. 1-8 - Ngewi Fet, Marcus Handte
Autonomous signal source displacement detection and recalibration of fingerprinting-based indoor localization systems. 1-8 - Filip Lemic
SLSR: A flexible middleware localization service architecture. 1-8 - Grigorios G. Anagnostopoulos
A multiobjective optimization methodology of tuning indoor positioning systems. 1-8 - Tanishq Gupta, Holden King Ho Li
Indoor mapping for smart cities - An affordable approach: Using Kinect Sensor and ZED stereo camera. 1-8 - Thomas Moder, Clemens Reitbauer, Markus Dorn, Manfred Wieser:
Calibration of smartphone sensor data usable for pedestrian dead reckoning. 1-8 - Leehter Yao, Yeong-Wei Andy Wu, Lei Yao
An integrated IMU and UWB sensor based indoor positioning system. 1-8 - Chengqi Ma, Chenyang Wan, Yuen Wun Chau, Soong Moon Kang, David R. Selviah
Subway station real-time indoor positioning system for cell phones. 1-7 - Dennis Laurijssen, Steven Truijen
Six-DoF pose estimation using dual-axis rotating laser sweeps using a probabilistic framework. 1-8 - Adriano J. C. Moreira
Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning. 1-8 - Dihong Wu, Ao Peng, Lingxiang Zheng, Zhenyang Wu, Yizhen Wang, Biyu Tang, Hai Lu, Haibin Shi, Huiru Zheng:
A smart-phone based hand-held indoor tracking system. 1-7 - Wenchao Zhang
A foot-mounted PDR system based on IMU/EKF+HMM+ZUPT+ZARU+HDR+compass algorithm. 1-5 - Rongxin Wang, Lingxiang Zheng, Dihong Wu, Ao Peng, Biyu Tang, Hai Lu, Haibin Shi, Huiru Zheng:
Research on multiple gait and 3D indoor positioning system. 1-7 - Stefan Knauth:
Smartphone PDR positioning in large environments employing WiFi, particle filter, and backward optimization. 1-6 - Silvia Prophet, Jamal Atman, Gert F. Trommer:
A synergetic approach to indoor navigation and mapping for aerial reconnaissance and surveillance. 1-8 - Abbass Hammoud, Athanasios I. Kyritsis, Michel Deriaz, Dimitri Konstantas:
Enhanced still presence sensing with supervised learning over segmented ultrasonic reflections. 1-8 - Jaehyun Yoo, Karl Henrik Johansson:
Semi-supervised learning for mobile robot localization using wireless signal strengths. 1-8 - Georgy Minaev, Ari Visa
Comprehensive survey of similarity measures for ranked based location fingerprinting algorithm. 1-4 - Xingli Gan, Baoguo Yu, Lu Huang
Deep learning for weights training and indoor positioning using multi-sensor fingerprint. 1-7 - Xiaolong Xu, Yu Tang, Shanchang Li:
Indoor localization based on hybrid Wi-Fi hotspots. 1-8 - Arash Behboodi, Filip Lemic
Interference effect on the performance of fingerprinting localization. 1-8 - Chandra Tjhai
Step-size estimation using fusion of multiple wearable inertial sensors. 1-8 - Kohei Kanagu, Kota Tsubouchi
Colorful PDR: Colorizing PDR with shopping context in walking. 1-8 - Yonghao Zhao, Wai-Choong Wong, Hari Krishna Garg:
A calibration-free indoor localization system using pseudo-distances in WLAN environments. 1-8 - Yang Gu, Caifa Zhou, Andreas Wieser
WiFi based trajectory alignment, calibration and crowdsourced site survey using smart phones and foot-mounted IMUs. 1-6 - Yanyun Gong, Fang Zhao, Shaomeng Chen, Haiyong Luo:
A convolutional neural networks based transportation mode identification algorithm. 1-7 - Dina Bousdar Ahmed, Estefania Munoz Diaz, Jose Angel Conejo Minguez:
Exploiting wearable devices for the calibration of inertial navigation systems. 1-5 - Girmi Schouten, Jan Steckel
RadarSLAM: Biomimetic SLAM using ultra-wideband pulse-echo radar. 1-8 - Khuong An Nguyen
On assessing the positioning accuracy of Google Tango in challenging indoor environments. 1-8 - Nicolas Antigny, Myriam Servières
Pedestrian track estimation with handheld monocular camera and inertial-magnetic sensor for urban augmented reality. 1-8 - Yi Wang:
User positioning with particle swarm optimization. 1-5 - Asok Perera, Janindu Arukgoda
Localization system for carers to track elderly people in visits to a crowded shopping mall. 1-8 - Janis Tiemann
Scalable and precise multi-UAV indoor navigation using TDOA-based UWB localization. 1-7 - Susanna Kaiser:
Integrating known locations in FootSLAM and investigating the influence of different prior information. 1-8 - Emilio Sansano-Sansano
A novel methodology to estimate a measurement of the inherent difficulty of an indoor localization radio map. 1-8 - Raúl Montoliu, Emilio Sansano-Sansano
IndoorLoc platform: A public repository for comparing and evaluating indoor positioning systems. 1-8 - Dongyan Wei, Xinchun Ji, Wen Li, Hong Yuan, Ying Xu:
Vehicle localization based on odometry assisted magnetic matching. 1-6 - Dina Bousdar Ahmed, Luis Enrique Diez Blanco
Performance comparison of wearable-based pedestrian navigation systems in large areas. 1-7 - Alexandra Zayets, Eckehard G. Steinbach
Robust WiFi-based indoor localization using multipath component analysis. 1-8 - Subhojyoti Bose, Amit K. Gupta, Peter Handel:
On the noise and power performance of a shoe-mounted multi-IMU inertial positioning system. 1-8 - So Takahashi, Nobuaki Kubo
Real-time monitoring for structure deformations using hand-held RTK-GNSS receivers on the wall. 1-7 - Paolo Barsocchi, Antonino Crivello
Occupancy detection by multi-power bluetooth low energy beaconing. 1-6 - Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Improving foot-mounted inertial navigation through real-time motion classification. 1-8 - Eike Jens Hoffmann, Lorenz Schauer, Mirco Schönfeld
Robust pedestrian dead reckoning using anchor point recalibration. 1-7 - Md. Mahbubur Rahman, Vahideh Moghtadaiee
Design of fingerprinting technique for indoor localization using AM radio signals. 1-7 - Germán M. Mendoza-Silva
A more realistic error distance calculation for indoor positioning systems accuracy evaluation. 1-8 - David Jacq, Pascal Chatonnay, Christelle Bloch, Philippe Canalda, François Spies
Towards zero-configuration for Wi-Fi indoor positioning system. 1-8 - Zhengyi Xu, Jianming Wei, Jinxin Zhu, Weijun Yang:
A robust floor localization method using inertial and barometer measurements. 1-8 - Carsten Fritsche, Rickard Karlsson, Olle Noren, Fredrik Gustafsson:
Map-aided multi-level indoor vehicle positioning. 1-8 - Paul Verlaine Gakne, Kyle O'Keefe
Monocular-based pose estimation using vanishing points for indoor image correction. 1-7 - Mostafa M. Sakr
Efficient Wi-Fi signal strength maps using sparse Gaussian process models. 1-8 - Parinaz Kasebzadeh, Gustaf Hendeby, Carsten Fritsche, Fredrik Gunnarsson, Fredrik Gustafsson:
IMU dataset for motion and device mode classification. 1-8 - Edwin Peter Walsh, Walter Daems, Jan Steckel
Stable six-DoF head-pose tracking in assistive technology application. 1-7 - Grigorios G. Anagnostopoulos
Navigational needs and requirements of hospital staff: Geneva University hospitals case study. 1-8 - Christian Gentner, Markus Ulmschneider:
Simultaneous localization and mapping for pedestrians using low-cost ultra-wideband system and gyroscope. 1-8 - Naoki Akai, Koichi Ozaki:
3D magnetic field mapping in large-scale indoor environment using measurement robot and Gaussian processes. 1-7 - David Hanley
MagPIE: A dataset for indoor positioning with magnetic anomalies. 1-8 - Kaoru Uchida, Satoru Fujita:
Indoor location estimation based on robust floor fingerprint identification. 1-8 - Khuong An Nguyen
Co-location epidemic tracking on London public transports using low power mobile magnetometer. 1-8 - Yang Song, Chong Xiao Wang, Wee Peng Tay
Grid-based belief propagation. 1-6 - Yang Song, Wee Peng Tay
Robust decentralized localization in impulsive noise. 1-5 - Estefania Munoz Diaz, Maria Caamano:
Landmark-based online drift compensation algorithm for inertial pedestrian navigation. 1-7 - David Gualda, Jesús Ureña
Study of cooperative position estimations of mobile robots. 1-7
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-14 20:49 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: