Acoustic localization and mapping of multi-rotor vehicles

Prof. Alexander Bronstein | Computer Science


Automation, Mobility and Aerospace | Information and Computer Science

The Technology

A self-localization system for multi rotor drones . Localization is based on analysis of acoustic signature of returned acoustic signals as a result resulting from reflections from nearby objects. The transmitted acoustic signal is derived from rotor rotation.


  • Localization in areas with poor GPS reception
  • Indoor navigation
  • Reduced cost and energy consumption vs other solutions

Applications and Opportunities

  • Indoor drone navigation
  • Obstacle avoidance
arrow Business Development Contacts
Shikma Litmanovitz
Director of Business Development, Physical Science