Title :
Airport markings recognition for automatic taxiing
Author :
Barresi, Federico Francesco ; Allasia, Walter
Author_Institution :
Res. Office, EURIXGroup, Turin, Italy
Abstract :
Taxiing within the airport of Unmanned Aerial Vehicles (UAV) is currently based on front camera video provided to the remote pilot and GPS information. The latter introduces a systematic and, most tricky, random error that cannot allow the complete automatic taxiing. This paper presents a novel approach where image processing allows a GPS signal rectification, making use of automatic recognition of airport signs and markings. Runaway paths as well as taxiway location signs are identified and correlated to the GPS information. Several approaches had made use of Hough transform to find the runway for landing or take-off without cooperation between position and optical systems. The aim of this work is to create autonomous taxiing based on GPS information corrected by automatic recognition of airport signs, especially useful (but not limited) to UAV. Processing requirements have been identified and tests have been performed on videos recorded during taxiing at civil airports making use of UAVs remotely driven.
Keywords :
Global Positioning System; Hough transforms; aerospace computing; airports; autonomous aerial vehicles; computer vision; image recognition; video cameras; video signal processing; GPS information; GPS signal rectification; Hough transform; UAV; airport marking recognition; airport signs; automatic aircraft taxiing; autonomous taxiing; computer vision; front camera video; image processing; optical systems; position systems; random error; remote pilot; runaway paths; taxiway location signs; unmanned aerial vehicles; Accuracy; Aircraft; Airports; Cameras; Global Positioning System; Roads; Transforms; Ariport markings recognition; Hough transform; UAV; automatic taxiing; unmanned aerial vehicles;
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2013 Conference on
Conference_Location :
Cagliari