photo de profil d'un membre

Gia Minh HOANG


I specialize in statistical signal processing and sensor fusion for deployment of GNSS, inertial, and integrated navigation systems.

At Orolia, I lead to develop sensor fusion technology with FlexFusion platform combining GNSS, inertial sensors, and Iridium Satelles Time & Location (previously Boeing Timing & Location) signals which achieves bounded 50 m accuracy during hours of GNSS outage.
I also developed high performance time and frequency reference solutions synchronized to GNSS and external references.

During my PhD (finalist for 2018 Télécom ParisTech PhD Thesis Award), I developed Virtual Anchors-based Cooperative Localization (VA-CLoc) fusing GNSS, 802.11p V2X, IMU, UWB, and odometer to reach better than 30 cm accuracy, which led to the success and visibility of the European H2020 ITS project HIGHTS.

I contributed to a couple of ETSI standardization documents and task force currently in progress (TC ITS), regarding the format of V2X messages to support high-accuracy localization, and the format & interfaces of Local Dynamic Maps (pending Position and Timing Norm EN 302 637-2).
I am also recipient of Best Student Paper Award in 13th IEEE Workshop on Positioning, Navigation and Communication 2016.

Google Scholar:

Expériences professionnelles

Principal navigation engineer, technical lead

OROLIA , Les ulis - CDI

De Janvier 2018 à Aujourd'hui

Resilient Positioning Navigation and Timing (PNT)
● Galileo authenticated robust timing system
● GNSS/Iridium Satelles (ex. Boeing) Time & Location/INS/odometry integrated navigation systems
● GNSS/Iridium disciplined timing systems

Phd student, research engineer


De Novembre 2014 à Octobre 2017

V2X Cooperative Vehicle Localization Algorithms and Multisensor Data Fusion
● Designed cooperative data fusion algorithms for high precision vehicle localization (within 25 cm) and local dynamic mapping of road users, obstacles, neighboring cars, etc.
● Developed a co-simulation tool coupling traffic traces, V2X channel models, communication protocols and localization algorithms
● Performed field demonstrations of a full GNSS-aided V2X UWB localization system

Phd candidate (cifre doctoral student)


De Novembre 2014 à Aujourd'hui

Robust Cooperative Vehicle Localization with Low Communication Footprint
● Built V2X cooperative multi-vehicle localization algorithms using Bayesian data fusion
● Combined various radio and non-radio localization technologies (ultra wideband (UWB), GNSS, IMU, odometry) with V2X communications (ITS-G5, IEEE 802.11p) and crowdsourcing
● Design cross-layer protocol functionalities in synergy with the previous localization algorithms
● Validated the theoretical solutions by field demonstrations

Parcours officiels

Télécom Paris – Docteur – 2018


Vietnamien - Langue maternelle

Anglais - Courant

Français - Technique


Signal Processing
Telecom engineering
sensor fusion
Kalman filtering
inertial navigation
intelligent transport systems

Centres d'intérêt

  • AI
  • Technologies