Francesco Nex

Francesco Nex

Universiteit Twente

H-index: 35

Europe-Netherlands

About Francesco Nex

Francesco Nex, With an exceptional h-index of 35 and a recent h-index of 32 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of photogrammetry, remote sensing, computer vision, UAV, drones.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring

Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue

End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration

ICEpy4D: a Python Toolkit for Advanced Multi-Epoch Glacier Monitoring with Deep-Learning Photogrammetry

Hybrid adjustment of UAS-based LiDAR and image data

Vehicle Tracking and Speed Estimation from Unmanned Aerial Vehicles Using Segmentation-Initialised Trackers

Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle

Francesco Nex Information

University

Position

- ITC Faculty

Citations(all)

8396

Citations(since 2020)

5688

Cited By

4817

hIndex(all)

35

hIndex(since 2020)

32

i10Index(all)

78

i10Index(since 2020)

60

Email

University Profile Page

Google Scholar

Francesco Nex Skills & Research Interests

photogrammetry

remote sensing

computer vision

UAV

drones

Top articles of Francesco Nex

Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring

PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science

2024/2/6

Francesco Nex
Francesco Nex

H-Index: 26

Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue

Electronics

2024/1/30

End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration

Drones

2024/1/24

ICEpy4D: a Python Toolkit for Advanced Multi-Epoch Glacier Monitoring with Deep-Learning Photogrammetry

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/12/13

Hybrid adjustment of UAS-based LiDAR and image data

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/12/13

Vehicle Tracking and Speed Estimation from Unmanned Aerial Vehicles Using Segmentation-Initialised Trackers

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/12/5

Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU

arXiv preprint arXiv:2308.05515

2023/8/10

Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle

2023/8

High-frequency automatic 3D glacier monitoring using low-cost time-lapse cameras and Deep Learning algorithms

EGU General Assembly Conference Abstracts

2023/5

Francesco Nex
Francesco Nex

H-Index: 26

Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones

arXiv preprint arXiv:2303.10386

2023/3/18

UAV Remote Sensing for Smart Agriculture

GIM International

2023/1/19

Empowering students with geospatial solutions through challenge-based learning

2023

Francesco Nex
Francesco Nex

H-Index: 26

Farhad Samadzadegan
Farhad Samadzadegan

H-Index: 20

Preface: Workshop “IAMS-Intelligent Autonomous Mapping Systems”

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023

Francesco Nex
Francesco Nex

H-Index: 26

Filiberto Chiabrando
Filiberto Chiabrando

H-Index: 19

Benchmarking the extraction of 3D geometry from UAV images with deep learning methods

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023

Lite-mono: A lightweight cnn and transformer architecture for self-supervised monocular depth estimation

2023/6

UAV in the advent of the twenties: Where we stand and what is next

2022/2/1

Microdrone-Based Indoor Mapping with Graph SLAM. Drones 2022, 6, 352

2022

LISU: Low-light indoor scene understanding with joint learning of reflectance restoration

ISPRS journal of photogrammetry and remote sensing

2022/1/1

Microdrone-based indoor mapping with graph slam

Drones

2022/11/14

Francesco Nex
Francesco Nex

H-Index: 26

Simulating a hybrid acquisition system for uav platforms

Drones

2022/10/25

Bashar Alsadik
Bashar Alsadik

H-Index: 7

Francesco Nex
Francesco Nex

H-Index: 26

See List of Professors in Francesco Nex University(Universiteit Twente)

Co-Authors

academic-engine