The "Navigation, Signal and Image Processing" (NAV) group works on themes related to signal and image processing and is interested in the complete perception chain.
- Signal analysis and processing
Work is being carried out on signal enhancement to improve the performance of GNSS sensors but also on visible and multi- or hyperspectral image analysis techniques. In addition, detection and analysis approaches using GNSS reflectometry (GNSS-R) are being conducted. The objective of this work is to extract useful information from a raw signal in a relevant and efficient way.
- Multi-source information fusion
Based on the information extracted from the signal, multi-information fusion approaches are conducted in the context of autonomous navigation. In particular, work is being carried out in the field of simultaneous localization and mapping (SLAM) applied to autonomous vehicle navigation.
- Performance analysis
The navigation approaches thus developed are also analyzed in terms of achievable performance. New approaches of stress filtering and performance bounds calculations are studied to validate and evaluate the proposed methods.
Our research themes
New GNSS system architectures
The team is working on the development of new GNSS receiver architectures by integrating multi-constellation, multi-frequency and by developing new algorithmic approaches at the signal level.
Navigation by multimodal hybridization
We are interested in the study of multimodal hybridization algorithms integrating, among others, Vision, IMU and GNSS for autonomous vehicle navigation and environmental mapping approaches.
Theoretical performance studies
The theoretical study of the algorithmic performances of estimation approaches is also conducted. One of the objectives is to compensate for errors in system modeling through the use of constrained estimators.
Perception and environmental analysis approaches
With an objective of detection and characterization of the environment, the team is interested in signal processing approaches for multi/hyperspectral imaging but also in GNSS signal reflectometry methods (GNSS-R).