Single-Target Tracking with Multi-Modal Data

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris, Kyriacos Clerides, Michael Picas
DOI: 10.5281/zenodo.18767816
Cited by: 0

Abstract

Multi-modal data from three modalities (Video, Underwater Audio, and Pointcloud) paired with GPS coordinates of a RIB boat. This dataset is targeted for robust single-target tracking by utilizing multiple sensor modalities. The data was collected in Agia Napa Marina, Cyprus, from two cameras, four hydrophones, and one LIDAR sensor.

Fields of Study & Subjects

Target Tracking and Data Fusion in Sensor Networks Video Surveillance and Tracking Methods Autonomous Vehicle Technology and Safety

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN
Document type
Dataset