Presentation + Paper
15 November 2024 Bimodal vision system combining standard camera and dynamic vision sensor for detecting and tracking fast UAVs
Author Affiliations +
Abstract
This work focuses on a bimodal vision system which was previously demonstrated as a relevant sensing candidate for detecting and tracking fast objects by combining the unique event-based sensor features i.e. high temporal resolution, reduced bandwidth needs, low energy consumption, and passive detection capabilities with the high-spatial resolution of a RGB camera. In this study, we aim to propose a model based on the principle of attentional vision for real-time detection and tracking of UAVs, taking into account computing and on-board resource constraints. A laboratory demonstrator have been proposed to evaluate the operational limits in terms of computation time, system performances (including target detection) versus speed. Our first indoor and outdoor tests revealed the interest and potential of our system to quickly detect objects flying at hundreds of kilometers an hour.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Antoine Zundel, Cédric Demonceaux, Nicolas Hueber, Damien Spittler, Guillaume Strub, and Sébastien Changey "Bimodal vision system combining standard camera and dynamic vision sensor for detecting and tracking fast UAVs", Proc. SPIE 13204, Emerging Imaging and Sensing Technologies for Security and Defence IX, 1320402 (15 November 2024); https://doi.org/10.1117/12.3031854
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KEYWORDS
Object detection

Tunable filters

Sensors

RGB color model

Unmanned aerial vehicles

Detection and tracking algorithms

Data processing

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