DocumentCode
1769984
Title
A Laser Obstacle Warning and Avoidance system for Manned and Unmanned Aircraft
Author
Sabatini, Roberto ; Gardi, Alessandro ; Ramasamy, S. ; Richardson, Mark A.
Author_Institution
SAMME, RMIT Univ., Melbourne, VIC, Australia
fYear
2014
fDate
29-30 May 2014
Firstpage
616
Lastpage
621
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.
Keywords
aircraft instrumentation; aircraft navigation; aircraft testing; autonomous aerial vehicles; collision avoidance; helicopters; military aircraft; optical radar; LIDAR technology; LOAM system; SAA; UA platforms; data processing algorithms; flight paths; flight test activity; helicopter platforms; laser obstacle warning and avoidance system; manned aircraft; military platforms; noncooperative UA sense-and-avoid applications; obstacle detection; sensor characteristics; small-to-medium size unmanned aircraft platforms; system architecture; Classification algorithms; Heuristic algorithms; Laser beams; Mathematical model; Noise; Trajectory; Wires; 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;
fLanguage
English
Publisher
ieee
Conference_Titel
Metrology for Aerospace (MetroAeroSpace), 2014 IEEE
Conference_Location
Benevento
Type
conf
DOI
10.1109/MetroAeroSpace.2014.6865998
Filename
6865998
Link To Document