Publications related to On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis

Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...

2023

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

Jan Skaloud, Davide Antonio Cucci, Kyriaki Mouzakidou

In airborne laser scanning a high-frequency trajectory solution is typically determined from inertial sensors and employed to directly geo-reference the acquired laser points. When low-cost MEMS inertial sensors are used, such as in lightweight unmanned ae ...

2022

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

Giovanni De Micheli, Alessandro Tempia Calvino, Heinz Riener, Shubham Rai, Akash Kumar

This paper proposes a versatile mapping approach that has three objectives: i) it can map from one technology-independent graph representation to another; ii) it can map to a cell library; iii) it supports logic rewriting. The method is cut-based, mitigate ...

IEEE2022

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

Jan Skaloud, Davide Antonio Cucci, Aurélien Arnaud Brun

With the objective of improving the registration of lidar point clouds produced by kinematic scanning systems, we propose a novel trajectory adjustment procedure that leverages on the automated extraction of selected reliable 3D point–to–point corresponden ...

2022

Slim: Explicit Slot-Intent Mapping With Bert For Joint Multi-Intent Detection And Slot Filling

Boi Faltings, Fei Mi, Fengyu Cai, Wanhao Zhou

Utterance-level intent detection and token-level slot filling are two key tasks for spoken language understanding (SLU) in task-oriented systems. Most existing approaches assume that only a single intent exists in an utterance. However, there are often mul ...

IEEE2022

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

Jan Skaloud, Davide Antonio Cucci, Laurent Valentin Jospin, Emmanuel Pierre Quentin Clédat

Drone mapping with GNSS-assisted photogrammetry is a highly efficient method for surveying small -or medium- sized areas. However, the mapping quality is not intuitively predictable, particularly in complex environments (with steep and cluttered terrain), ...

2020

Airborne and mobile LiDAR, which sensors for which application?

Jan Skaloud, Philipp Clausen, Julien Vallet

The UAV mapping industry expanded tremendously during the last five years. Thanks to miniaturization, automation and advertising, this technology may give a wrong impression that mapping of certain quality is as simple as clicking few buttons on a PC. More ...

2020

Omnidirectional Strategies for Exploring Ancient Cities and Territories

Sarah Irene Brutton Kenderdine

By focusing on technologies of virtual reality in conjunction with theories of “place” and “presence,” this chapter outlines the importance of new approaches to the museological experience and exploration of ancient cities and cultural heritage sites. Expl ...

Oxford University Press2020

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On the adjustment, calibration and orientation of drone photogrammetry and laser-scanning

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Methods of trajectory estimation in challenging mapping scenarios

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

Importance of 3D radiative transfer effects on high-resolution NO2 remote sensing in cities

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

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

Slim: Explicit Slot-Intent Mapping With Bert For Joint Multi-Intent Detection And Slot Filling

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

Airborne and mobile LiDAR, which sensors for which application?

Omnidirectional Strategies for Exploring Ancient Cities and Territories

Graph Chatbot

Chat with Graph Search

A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Importance of 3D radiative transfer effects on high-resolution NO2 remote sensing in cities

Methods of trajectory estimation in challenging mapping scenarios

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

A Versatile Mapping Approach for Technology Mapping and Graph Optimization

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

Slim: Explicit Slot-Intent Mapping With Bert For Joint Multi-Intent Detection And Slot Filling

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

Airborne and mobile LiDAR, which sensors for which application?

Omnidirectional Strategies for Exploring Ancient Cities and Territories