A Laser Obstacle Warning and Avoidance system for Manned and Unmanned Aircraft

Roberto Sabatini, Alessandro Gardi, Subramanian Ramasamy, Mark A. Richardson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Scopus citations

Abstract

In this paper we briefly review the research and flight test activities performed to develop and integrate the Laser Obstacle Avoidance and Monitoring (LOAM) system on helicopter platforms and focus on the recent research advances towards the development of a new scaled LOAM variant for small-to-medium size Unmanned Aircraft (UA) platforms. After a brief description of the system architecture and sensor characteristics, emphasis is given to the performance models and data processing algorithms developed for obstacle detection, classification and calculation of alternative flight paths, as well as to the flight test activities performed on various military platforms. A concluding section provides an overview of current LOAM research developments with a focus on non-cooperative UA Sense-and-Avoid (SAA) applications.

Original languageBritish English
Title of host publication2014 IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014 - Proceedings
PublisherIEEE Computer Society
Pages616-621
Number of pages6
ISBN (Print)9781479920693
DOIs
StatePublished - 2014
Event2014 IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014 - Benevento, Italy
Duration: 29 May 201430 May 2014

Publication series

Name2014 IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014 - Proceedings

Conference

Conference2014 IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014
Country/TerritoryItaly
CityBenevento
Period29/05/1430/05/14

Keywords

  • Avionics
  • Controlled Flight Into Terrain
  • LIDAR
  • Low-level Flight
  • Nap-of-the-Earth
  • Obstacle Avoidance
  • Obstacle Detection
  • Obstacle Warning System
  • Sense-and-Avoid
  • Unmanned Aircraft

Fingerprint

Dive into the research topics of 'A Laser Obstacle Warning and Avoidance system for Manned and Unmanned Aircraft'. Together they form a unique fingerprint.

Cite this