David Sánchez Pedroche

According to our database, David Sánchez Pedroche authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Context learning from a ship trajectory cluster for anomaly detection.

David Sánchez Pedroche, Jesús García Herrero, José Manuel Molina López

Neurocomputing, January, 2024

2023

UAV Airframe Classification Using Acceleration Spectrograms.

David Sánchez Pedroche, Francisco Fariña Salguero, Daniel Amigo Herrero, Jesús García, José M. Molina López

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

UAV airframe classification based on trajectory data in UTM collaborative environments.

David Sánchez Pedroche, Daniel Amigo, Jesús García, José Manuel Molina López, Juan Pedro Llerena

Proceedings of the 26th International Conference on Information Fusion, 2023

Avoiding quantization effect in the vertical trajectory reconstruction filtering system.

Daniel Amigo, David Sánchez Pedroche, Jesús García, José Manuel Molina, Emmanuel Voet, Benoit Van Bogaert

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Segmentation optimization in trajectory-based ship classification.

Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina

J. Comput. Sci., 2022

Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection.

David Sánchez Pedroche, Jesús García, José Manuel Molina

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

2021

Review and classification of trajectory summarisation algorithms: From compression to segmentation.

Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina

Int. J. Distributed Sens. Networks, 2021

Automatic Individual Tree Detection from Combination of Aerial Imagery, LiDAR and Environment Context.

Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José M. Molina

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Clustering of maritime trajectories with AIS features for context learning.

David Sánchez Pedroche, Daniel Amigo Herrero, Jesús García Herrero, José Manuel Molina López

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Automatic context learning based on 360 imageries triangulation and 3D LiDAR validation.

Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Architecture for Trajectory-Based Fishing Ship Classification with AIS Data.

David Sánchez Pedroche, Daniel Amigo Herrero, Jesús García, José Manuel Molina

Sensors, 2020

2019

AIS trajectory classification based on IMM data.

Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García Herrero, José Manuel Molina López

Proceedings of the 22th International Conference on Information Fusion, 2019