Mapping and remote sensing ‒ ESO ‐ EPFL

Modern mapping and remote sensing integrates themes from navigation, geodesy, photogrammetry, computer vision, machine learning and system control. This field is truly interdisciplinary both in the conception and operation of mobile mapping platforms, as well as in the calibration of their sensors and data processing. We study and develop new concepts of sensor calibration, quality control and data adjustment which are tested on platforms developed especially for this purpose. Together with the platforms we study and develop bespoke 3D reconstruction, digitalisation and analysis algorithms.

Our most resent interests are related to the area of fusion of novel LIDAR (Single-photon avalanche diode – SPAD) and RGB camera sensors for 3D digitalisation and mapping. We study the optimal fusion of classical 3D reconstruction algorithms such as photogrammetry with most resent developments in Machine Learning vision and data processing algorithms.

Particular focus is given to the following areas:

Calibration and integration of active and passive optical sensors
Sensor synchronisation and data acquisition
Development of 3D reconstruction algorithms
Composition of light-weight mapping systems and platforms (e.g.

Improving Kinematic Laser scanning via lidar-to-lidar correspondences

A. A. Brun; J. Skaloud

23rd Swiss Geoscience Meeting, Bern, Switzerland, 2025-12-05 – 2025-12-06.

Improving Kinematic Laser scanning via lidar-to-lidar correspondences

Improved laser scanning within urban and mountainous environments

Generalization of point-to-point matching for rigorous optimization in kinematic laser scanning

Automated Vectorization of Classified LiDAR Data for Powerline Infrastructure Modeling

Advanced Image-Based Methods for 3D Semantic Segmentation of Lidar Point Clouds in Electrical Infrastructure Applications

Rigorous approach to bore-sigh self-calibration in airborne laser scanning – What’s new after 20 years?

Quality assessment of Airborne Image Spectrometry Data for the AVIRIS-4

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

AddLiDAR: An Online Airborne Laser Scanning Processing Portal and Data Repository

The AVIRIS-4 Airborne Imaging Spectrometer

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Methods of trajectory estimation in challenging mapping scenarios

Model-based constraints for trajectory determination of quad-copters: Design, calibration & merits for direct orientation

On the benefit of concurrent adjustment of active and passive optical sensors with GNSS & raw inertial data

Lidar point-to-point correspondences for rigorous registration of kinematic scanning in dynamic networks

Airborne and mobile LiDAR, which sensors for which application?

Fusion of Photo with Airborne Laser Scanning

Camera Calibration Models and Methods for Corridor Mapping with UAVs

Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment

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