Call for Papers is Available Now

2019-12-06 11:12:28


IPIN solicits submission of high-quality technical papers reporting original work not previously published, nor currently submitted for consideration elsewhere.

Papers may be submitted as one of two types:

-Regular paper: limited to 8 IEEE format pages, for oral presentation

-Work-in-Progress (WiP) paper: from 5 to 8 LNCS format pages, for a poster or oral presentation

Papers undergo a single-blind review process with at least two reviewers. 

Accepted regular papers will be submitted to the IEEE Xplore Digital Library, and accepted WiP papers to CEUR-WS.org, which is currently indexed by Scopus, Ei Compendex and DBLP.

Best paper awards will be presented during the conference.

For both types of papers, authors have the opportunity to send a technically extended version of the presented conference papers to MDPI Sensors.


IMPORTANT DATES  

 IMPORTANT DATES
Paper Submission : 30 Apr 2020
Notification of Acceptance : 10 June 2020
Final Manuscript : 30 June 2020

Download: Call for Papers.PDF


Topics of interest include:

•User Requirements

•Hybrid IMU Pedestrian Navigation & Foot Mounted Navigation

•Human Motion Monitoring

•High Sensitivity GNSS, Indoor GNSS, Pseudolites

•Mitigating GNSS errors switching to indoors

•Precise positioning on  smartphones

•Localization, Algorithms for Wireless Sensor Networks or Cellular Networks

•TOF, TDOA based Localization

•RSSI, magnetic fingerprinting

•Ultrasound Systems

•UWB (Ultra‐wideband)

•Self‐contained sensors

•Passive & Active RFID

•Optical Systems

•Frameworks for Hybrid Positioning

•Industrial Metrology & Geodetic Systems, iGPS

•Radar Systems

•Mapping, SLAM

•Indoor Spatial Data Model & Indoor Mobile Mapping

•Novel uses of maps and 3D building models

•Innovative Systems

•Wearable and multi-sensor systems

•Privacy and security for ILS

•Location-based services and application

•Awareness & Context Detection

•Health and Wellness Applications

•Benchmarking, assessment, evaluation, standard

•AI based positioning


 
Contact:ipin@aircas.ac.cn