Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]

Deleforge A, Di Carlo D, Strauß M, Serizel R, Marcenaro L (2019)

Publication Type: Journal article, Review article

Publication year: 2019

Journal

IEEE Signal Processing Magazine Institute of Electrical and Electronic Engineers

Book Volume: 36

Pages Range: 138-144

Article Number: 8827999

Journal Issue: 5

DOI: 10.1109/MSP.2019.2924687

Abstract

Increasing interest in unmanned aerial vehicles (UAVs), commonly referred to as drones, has occurred in recent years. Search and rescue scenarios where humans in emergency situations need to be quickly found in difficult-toaccess areas constitute an important field of application for this technology. Drones have already been used by humanitarian organizations in countries such as Haiti and the Philippines to map areas after a natural disaster using high-resolution embedded cameras, as documented in a recent United Nations report [1]. Although research efforts have focused mostly on developing video-based solutions for this task [2], UAV-embedded audio-based localization has received relatively less attention [3]-[7]. However, UAVs equipped with a microphone array could be of critical help to localize people in emergency situations, especially when video sensors are limited by a lack of visual feedback due to bad lighting conditions (such as at night or in fog) or obstacles limiting the field of view (Figure 1).

Authors with CRIS profile

Martin Strauß Professur für Informatik (Mustererkennung)

Involved external institutions

Institut national de Recherche en Informatique et en Automatique (INRIA) FR France (FR) Université de Lorraine FR France (FR) Inria Nancy - Grand Est research centre / Centre de recherche Inria Nancy-Grand Est FR France (FR) University of Genova / Università degli Studi di Genova IT Italy (IT)

How to cite

APA:

Deleforge, A., Di Carlo, D., Strauß, M., Serizel, R., & Marcenaro, L. (2019). Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]. IEEE Signal Processing Magazine, 36(5), 138-144. https://dx.doi.org/10.1109/MSP.2019.2924687

MLA:

Deleforge, Antoine, et al. "Audio-Based Search and Rescue with a Drone: Highlights from the IEEE Signal Processing Cup 2019 Student Competition [SP Competitions]." IEEE Signal Processing Magazine 36.5 (2019): 138-144.

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