A laser obstacle detection and avoidance system for manned and unmanned aircraft applications

Subramanian Ramasamy, Alessandro Gardi, Jing Liu, Roberto Sabatini

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

9 Scopus citations

Abstract

This paper presents the key design features, the numerical simulations and the experimental ground/flight test activities performed to verify the functionalities of an obstacle detection and avoidance system suitable for various classes of manned and unmanned aircraft. The Laser Obstacle Avoidance and Monitoring (LOAM) system is proposed as one of the key non-cooperative sensors adopted for avoiding obstacles/intruders in the context of a future Sense-and-Avoid (SAA) capability. After a brief description of the system architecture and of the main data processing algorithms, avoidance trajectory generation and performance estimation models are described. A simulation of the avoidance trajectory generation algorithm is performed in a realistic scenario. Additionally, a brief overview of ground and flight test activities performed on various platforms and their main results is also presented. Some of the key aspects of the LOAM Human Machine Interface and Interaction (HMI2) design are also outlined. The demonstrated detection and avoidance performances and the robust trajectory generation algorithm ensure a safe avoidance of all classes of obstacles (i.e. ground and aerial) in all weather conditions and flight phases.

Original languageBritish English
Title of host publication2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages526-533
Number of pages8
ISBN (Electronic)9781479960101
DOIs
StatePublished - 7 Jul 2015
Event2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015 - Denver, United States
Duration: 9 Jun 201512 Jun 2015

Publication series

Name2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015

Conference

Conference2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015
Country/TerritoryUnited States
CityDenver
Period9/06/1512/06/15

Keywords

  • Avoidance trajectory
  • Human machine interface
  • Laser
  • Obstacle avoidance
  • Sense-and-avoid

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