דלג לתוכן (מקש קיצור 's')
Logo of Technion
Logo of CS Department
אירועים

אירועים

מידול הרעש העצמי של רחפנים בחללים פתוחים וסגורים לטובת לוקליזציה על בסיס האותות האקוסטיים בחללים סגורים.
event speaker icon
תום הירשברג, הרצאה סמינריונית למגיסטר
event date icon
יום ראשון, 15.5.2022, 11:30
event location icon
Zoom Lecture: 92351875339
event speaker icon
מנחה:  Prof. Alex M. Bronstein
To model the self-sound of drones, acoustics analysis and high-fidelity computational fluid dynamic methods can be used. However, these methods require significant computational resources. Therefore, data-driven and analytical methods are commonly used to model the sound source, enabling the generation of a pressure-time history of the moving rotors along a time varying shaft position. We suggest a simple and low computational data-driven method for modeling the sound source of a drone in free space and indoors. Our model relies on a new high quality ground truth dataset of a spinning rotor in free space that we share publicly. Aiming beyond the sound source modeling, the model simplicity allows solving inverse problems such as indoor self-localization. As a proof of concept, we show how to improve the localization accuracy based on simple phase modulations.
[בחזרה לאינדקס האירועים]