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  2. ENAC IIE Environmental modeling and monitoring
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Teaching

Bachelor Level

  • Méthodes d’estimation
  • Acquisition de données pour l’environnement
  • Du relevé numérique à la mesure du changement

Master Level

  • Geomonitoring
  • Advanced satellite positioning
  • Sensor orientation

Doctoral Level

  • Inference for large-scale time series with application to sensor fusion
  • Geodetic Engineering Laboratory
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      • Position and attitude determination
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          • Helicopter
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      • Geomatics for road and traffic management
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        • Aerial 2D and 3D vision: a joint deep-learning-assisted application
        • Airborne LiDAR and Imagery Aided Tree Species Detection via Semi-Supervised Deep Learning
        • 3D vision : point-cloud based room segmentation algorithm for accurate indoor odometry
        • Incorporating aerodynamics in Sensor Fusion framework
        • Real-time VDM-based autonomous navigation software development for a Delta-wing UAV
      • Past Projects
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        • Firmware development for integrating redundant IMUs in aerodynamically constrained sensor fusion framework
        • Absolute Visual navigation via Deep Learning algorithms
        • Advanced drone navigation and control based on aerodynamics ‘learning and sensation’
        • Calibration of a novel flash LiDAR
        • Deep learning for urban modeling from street-view images
        • Developing a Vehicle Dynamic Model for an Autonomous land Vehicle
        • Terrain Type Modeling for Automated Tie-point Detection in Aerial Photogrammetry
        • Monitoring ice coverage of lakes by combining image processing with radiometric indexes
        • Mobile mapping using a UAV-mounted Panoptic camera
        • Laser scanning and changes detection
        • Autonomous Integrity Monitoring in GNSS+ Systems
        • GNSS receiver accuracy
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