Title :
Biologically inspired enhanced vision system (EVS) for aircraft landing guidance
Author :
Luk, Chiu Hung ; Gao, Changjian ; Hammerstrom, Dan ; Pavel, Misha ; Kerr, Dick
Author_Institution :
OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., USA
Abstract :
A useful enhanced vision system (EVS) for aircraft landing guidance not only has to provide the pilots a reliable image of the scene by fusing several sensor images in real time, but should also give them additional information such as attitude, navigation and hazard signals for safe landing in all weather conditions. Here, a biologically inspired EVS is proposed. The algorithms of the core modules of the systems, namely, the pre-processing and image retrieval are discussed in this paper. A FPGA version of the association network algorithm used in the application is discussed and its performance compared with the PC system.
Keywords :
aerospace computing; aircraft landing guidance; computer vision; feature extraction; field programmable gate arrays; image retrieval; sensor fusion; visual databases; FPGA; PC system; aircraft landing guidance; association network algorithm; biologically inspired enhanced vision system; feature extraction; hazard signals; image preprocessing; image retrieval; navigation; sensor fusion; visual databases; Aircraft navigation; Biosensors; Field programmable gate arrays; Hazards; Image retrieval; Image sensors; Layout; Machine vision; Real time systems; Sensor systems;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380871