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 :
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