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Hsiu-Wen Chang Joly

Hsiu-Wen Chang Joly

Researcher Scientist

Center · CAOR

Keywords

Team

CAOR

Biography

Hsiu-Wen Chang Joly is a researcher specializing in navigation and positioning systems, with significant expertise in multisensor integration for terrestrial, mobile, and pedestrian applications. Her work focuses primarily on improving the robustness and accuracy of navigation systems in challenging environments, particularly in dense urban areas or indoors, where GNSS signals are degraded or absent. She explores innovative solutions combining inertial sensors (INS), satellite-based positioning systems (GNSS), odometers, barometers, as well as computer vision and artificial intelligence techniques, such as artificial neural networks (ANN) and extended Kalman filters (EKF). Her research also includes the development of adaptive methods for cycling and walking navigation, leveraging MEMS sensors integrated into smartphones, while minimizing user constraints for the end user. His contributions aim to optimize the performance of hybrid navigation systems, particularly for mobile mapping systems (MMS) and location-based services (LBS).

Publication(s)

  • 2020
    Assessment for INS/GNSS/Odometer/Barometer Integration in Loosely-Coupled and Tightly-Coupled Scheme in a GNSS-Degraded Environment DOI : 10.1109/JSEN.2019.2954532
  • 2019
    Seamless navigation and mapping using an INS/GNSS/grid-based SLAM semi-tightly coupled integration scheme DOI : 10.1016/j.inffus.2019.01.004
  • 2018
    Artificial neural networks aided image localization for pedestrian dead reckoning for indoor navigation applications DOI : 10.1109/UPINLBS.2018.8559833
  • 2017
    The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment DOI : 10.3390/ijgi6020043
  • 2017
    Computer vision combined with convolutional neural network aid GNSS/INS integration for misalignment estimation of portable navigation DOI : 10.33012/2017.15412
  • 2016
    The performance analysis of the map-aided fuzzy decision tree based on the pedestrian dead reckoning algorithm in an indoor environment DOI : 10.3390/s16010034
  • 2016
    A low complexity map-aided Fuzzy Decision Tree for pedestrian indoor/outdoor navigation using smartphone DOI : 10.1109/IPIN.2016.7743640
  • 2015
    Cycling dead reckoning for enhanced portable device navigation on multi-gear bicycles DOI : 10.1007/s10291-014-0417-1
  • 2015
    Improved Cycling Navigation Using Inertial Sensors Measurements From Portable Devices With Arbitrary Orientation DOI : 10.1109/TIM.2014.2381356
  • 2015
    Portable device use case recognition technique for pedestrian navigation
  • 2014
    An advanced real-time navigation solution for cycling applications using portable devices
  • 2013
    Heading misalignment estimation between portable devices and pedestrians
  • 2013
    Cycling derived models for enhancing navigation performance of a low cost multi-sensors system DOI : 10.6125/13-0826-762
  • 2013
    Showing smartphones the way inside
  • 2013
    Techniques for 3D misalignments calculation for portable devices in cycling applications
  • 2013
    A MEMS multi-sensors system for pedestrian navigation DOI : 10.1007/978-3-642-37407-4_60
  • 2012
    Real-time, continuous and reliable consumer indoor/outdoor localization for smartphones
  • 2012
    A low cost multi-sensors navigation solution for sport performance assessment
  • 2011
    An ANN embedded RTS smoother for an INS/GPS integrated Positioning and Orientation System DOI : 10.1016/j.asoc.2010.10.011
  • 2010
    Intelligent sensor positioning and orientation through constructive neural network-embedded INS/GPS integration algorithms DOI : 10.3390/s101009252
  • 2010
    Intelligent sensor positioning and orientation using a sgn embedded fusion algorithm for a mems IMU/GPS integrated system
  • 2009
    An Artificial Neural Network Embedded Position and Orientation Determination Algorithm for Low Cost MEMS INS/GPS Integrated Sensors DOI : 10.3390/s90402586
  • 2009
    An ANN-RTS smoother scheme for accurate INS/GPS integrated attitude determination DOI : 10.1007/s10291-008-0113-0
  • 2008
    An ANN embedded POS algorithm for a low cost MEMS INS/GPS integrated system
  • 2007
    Improving the attitude accuracy of a low cost MEMS/GPS integrated system using GPS heading sensors
  • 2007
    Improving the positioning accuracy of a low cost MEMS/GPS integrated system using GPS heading sensors

PhD supervision

  • 2024 Development of foundation models for fluid flow simulation. HMIDA Hamda
  • 2024 Incremental 3D reconstruction based on a neural representation DAIRE Nicolas