NaviR²eS research team

At ISAE SUPAERO, the Department of Electronics, Optronics and Signal Processing (DEOS) develops skills in signal processing, information processing, and data analysis.

The "Navigation, Radar and Remonte Sensing" (NAVIR² eS) research group is interested in the theoretical study of information sources as well as hybridization approaches in the context of autonomous vehicle navigation applications.

The "Navigation, Radar and Remonte Sensing" (NAVIR² eS) 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

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

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

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

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).

NAV Group member publications



Eric Chaumette
Gaël Pages
Jordi Vilà-Valls
François Vincent
Damien Vivet
Benoit Priot

Temporary researchers:

Paul Chauchat (postdoctoral researcher)
Samy Labsir (postdoctoral researcher)
Florent Fériol (PhD candidate)
Zhujun Xu (PhD candidate)
Priyanka Das (PhD candidate)
Emir Hrustic (PhD candidate)
Justin Cano (PhD candidate)
Yi Ding (PhD candidate)
Gervais Sikadie (research engineer)


David Mimoun,
Head of DEOS
david.mimoun at

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