Jacques Georgy

About

Jacques Georgy is a leading expert in navigation and positioning systems, with a focus on enhancing mobile robot and autonomous vehicle localization through sensor fusion. His research primarily addresses the critical challenge of maintaining accurate positioning when GPS signals are unreliable or unavailable, such as in urban canyons or dense forests. Georgy’s major contributions include pioneering work on integrating inertial sensors with GPS, as demonstrated in his highly cited 2009 paper on INS/GPS integration for mobile robot outdoor localization (37 citations). He advanced this field with the real-time implementation of a mixture particle filter for 3D RISS/GPS navigation (29 citations), enabling robust performance in GPS-denied environments. His 2012 work on improved inertial/odometry/GPS positioning for wheeled robots (12 citations) further solidified his impact. More recently, Georgy has tackled the critical issue of integrity monitoring and uncertainty estimation for autonomous vehicles, integrating multiple imaging radars with INS/GNSS systems (2022). His work at Trusted Positioning Inc. and collaborations with Queen’s University have been instrumental in developing reliable navigation solutions for autonomous platforms, making him a key figure in the advancement of safe and accurate autonomous driving technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Enhanced mobile robot outdoor localization using INS/GPS integration

   37 citations · 2009
2. 2
   Real-time implementation of mixture particle filter for 3D RISS/GPS integrated navigation solution

   29 citations · 2010
3. 3
   Improved Inertial/Odometry/GPS Positioning of Wheeled Robots Even in GPS-Denied Environments

   12 citations · 2012
4. 4
   Integrity Monitoring and Uncertainty Estimation with AUTO’s Non-linear Integration of Multiple Imaging Radars and INS/GNSS for Autonomous Vehicles and Robots

   2 citations · 2022

Key Collaborators

Contact & Links