Description
The IEEE Signal Processing Society proudly announces the sixth edition of the Signal Processing Cup: an audio-based search and rescue challenge using drones.
The goal of this competition is for teams to build a system capable of localizing a sound source based on audio recordings made with a microphone array embedded in an unmanned aerial vehicle (UAV), also called drone. Teams will use their signal processing expertise to process the audio signals in ordered to extract relevant spatial cues to estimate the direction of arrival of a speech source. Key challenges are the large amount of noise present in the recordings due to the UAV's rotors and wind, and the dynamics of realistic flights, involving fast movements.
The competition will consist of two stages; an open competition that any eligible team can participate in and an invitation-only final competition. Teams participating in the open competition must submit their entries no later than February 28, 2019. The three teams with the highest performance in the open competition will be selected as finalists and will be invited to participate in the final competition. Finalists will be announced on March 20, 2019. The three teams invited to participate in the final competition will be judged at ICASSP 2019, which will be held May 12-17, 2019. Detailed informations are provided in the Syllabus (link on top of this page).
UAVs have been of increasing influence in recent years. Search and rescue scenarios where humans in emergency situations need to be quickly found in areas difficult to access constitute an important field of application for this technology. Drones have already been used in places like Haiti and the Philippines to map areas after a natural disaster, using high-resolution embedded cameras (see this recent United Nation report: http://tiny.cc/xmy0zy). On the other hand, whenever there is a lack of visual feedback due to bad lighting conditions (night, fog, etc.) or occlusions, audio signals could be of critical help to localize people in emergency. While sound source localization is a long-standing signal processing research topic, the unique challenges introduced by UAV search and rescue are at the heart of this IEEE signal processing cup edition.
The goal of this competition is for teams to build a system capable of localizing a sound source based on audio recordings made with a microphone array embedded in an unmanned aerial vehicle (UAV), also called drone. Teams will use their signal processing expertise to process the audio signals in ordered to extract relevant spatial cues to estimate the direction of arrival of a speech source. Key challenges are the large amount of noise present in the recordings due to the UAV's rotors and wind, and the dynamics of realistic flights, involving fast movements.
The competition will consist of two stages; an open competition that any eligible team can participate in and an invitation-only final competition. Teams participating in the open competition must submit their entries no later than February 28, 2019. The three teams with the highest performance in the open competition will be selected as finalists and will be invited to participate in the final competition. Finalists will be announced on March 20, 2019. The three teams invited to participate in the final competition will be judged at ICASSP 2019, which will be held May 12-17, 2019. Detailed informations are provided in the Syllabus (link on top of this page).
UAVs have been of increasing influence in recent years. Search and rescue scenarios where humans in emergency situations need to be quickly found in areas difficult to access constitute an important field of application for this technology. Drones have already been used in places like Haiti and the Philippines to map areas after a natural disaster, using high-resolution embedded cameras (see this recent United Nation report: http://tiny.cc/xmy0zy). On the other hand, whenever there is a lack of visual feedback due to bad lighting conditions (night, fog, etc.) or occlusions, audio signals could be of critical help to localize people in emergency. While sound source localization is a long-standing signal processing research topic, the unique challenges introduced by UAV search and rescue are at the heart of this IEEE signal processing cup edition.
General Information
Registration and Contact for Questions
For competition details, click on the "Syllabus" button on top of this page.
To access data and ask technical questions, please enroll this project using the following steps:
-Go to https://piazza.com and click "Students Get Started"
-Search Schools: "IEEE SPS"
-Selected Term: "Other"
-Class 1: "SPCUP 2019: IEEE Signal Processing Cup 2019"
-Class Access Code: "spcup2019"
You'll then be able to ask questions either as public inquiries to the SP Cup 2019 community or via private messages to the organizers.
The team registration website is: https://www2.securecms.com/SPCup/SPCRegistration.asp
To access data and ask technical questions, please enroll this project using the following steps:
-Go to https://piazza.com and click "Students Get Started"
-Search Schools: "IEEE SPS"
-Selected Term: "Other"
-Class 1: "SPCUP 2019: IEEE Signal Processing Cup 2019"
-Class Access Code: "spcup2019"
You'll then be able to ask questions either as public inquiries to the SP Cup 2019 community or via private messages to the organizers.
The team registration website is: https://www2.securecms.com/SPCup/SPCRegistration.asp
IEEE SPS Signal Processing Cup Website
http://signalprocessingsociety.org/get-involved/signal-processing-cup
(also provides links to past SP Cup Competitions)
(also provides links to past SP Cup Competitions)
Submission deadline
New deadline: March 11, 2019 !
Sponsor
This competition is sponsored by MathWorks®.
| Name | Office Hours | |
|---|---|---|
Antoine Deleforge | When? Where? | |
Jaqueline Rash | When? Where? | |
Diego Di Carlo | When? Where? | |
Romain Serizel | When? Where? |