Radar/Optro Meta-sensor: Augmented Radar Tracking Performances by Adaptive Camera Resources Allocation

This paper proposes a radar/optro meta sensor in which auxiliary cameras help one main radar to track the targets it detects and to continue tracking in case the radar loses one track. We present two approaches on real data to mitigate the radar track loss with the support of one auxiliary camera in a single target scenario. We investigate multi-target tracking with intermittent support of two cameras in a similar setting on simulated data.

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Published
2024-10-21
DOI
https://doi.org/10.1109/radar58436.2024.10993879
Primary Topic
Infrared Target Detection Methodologies
Type
article
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article

Radar/Optro Meta-sensor: Augmented Radar Tracking Performances by Adaptive Camera Resources Allocation

Frédéric Barbaresco, Raed Abu Zitar, Maxence de Rochechouart, Amal El Fallah Seghrouchni
Infrared Target Detection Methodologies
article

Radar/Optro Meta-sensor: Augmented Radar Tracking Performances by Adaptive Camera Resources Allocation

Frédéric Barbaresco, Raed Abu Zitar, Maxence de Rochechouart, Amal El Fallah Seghrouchni
article en

Abstract

This paper proposes a radar/optro meta sensor in which auxiliary cameras help one main radar to track the targets it detects and to continue tracking in case the radar loses one track. We present two approaches on real data to mitigate the radar track loss with the support of one auxiliary camera in a single target scenario. We investigate multi-target tracking with intermittent support of two cameras in a similar setting on simulated data.

Thales (Australia) (AU), Sorbonne Université (FR), Thales (France) (FR), Sorbonne University Abu Dhabi (AE)
Affordable and clean energy
Openalex Percentile: Top 51%
Infrared Target Detection Methodologies
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