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.

Discover... ISAE-SUPAERO's land mobile robots!

Discover the land mobile robots


Discover the land mobile robots ISAE-SUPAERO / SapienSapienS

27 February 2023

ISAE-SUPAERO - as a center for training through #research, research training and innovation - has many research equipments used within its 6 research departments.
Today, we present the land mobile robots!
Whether robots, planes, cars, or even telephones, all of these technologies are equipped with perception systems. Depending on the application, these sources of information make it possible to perceive the environment in which a system evolves but also to measure its own characteristics, such as for example its velocity or its acceleration. This multitude of data must then be used, cross-referenced and interpreted within what is called the navigation system to obtain the positioning of the vehicle but also, in the case of mapping applications, that of the objects which surround it.
Within the NAVIRRES (Navigation, Radar, and Remote Sensing) team of the DEOS, researchers are interested in navigation systems and their application in complex environments where sensor information can be degraded, erroneous or even unavailable. Thus, mobile acquisition platforms are developed, equipped with cameras, lidars, GNSS (Global Navigation Satellite System) receivers, radars and inertial measurement units, with the aim of obtaining the most efficient navigation system possible, according to the intended application. One of the research topics of the team concerns the analysis of the degradation of information from sensors, which leads to the development of new robust and adaptive algorithms, making it possible to overcome environmental constraints. The ultimate goal is to make navigation systems more precise and safer, for critical applications requiring strong reliability, such as autonomous cars or exploration robotics.

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
Laurent Ferro-Famil
Gaël Pages
Jordi Vilà-Valls
François Vincent
Damien Vivet

Temporary researchers:

Osman Coskun (post-doctorant)
Samy Labsir (post-doctorant)
Florent Fériol (doctorant)
Justin Cano (doctorant)
Yi Ding (doctorant)
César Debeunne (doctorant)
Titouan Tyack (doctorant)


David Mimoun,
Head of DEOS
david.mimoun at

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