Biologically inspired enhanced vision system (EVS) for aircraft landing guidance

Chiu Hung Luk, Changjian Gao, Dan Hammerstrom, Misha Pavel, Dick Kerr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2004 IEEE International Joint Conference on Neural Networks - Proceedings
Pages1751-1756
Number of pages6
DOIs
StatePublished - Dec 1 2004
Event2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume3
ISSN (Print)1098-7576

Other

Other2004 IEEE International Joint Conference on Neural Networks - Proceedings
CountryHungary
CityBudapest
Period7/25/047/29/04

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ASJC Scopus subject areas

  • Software

Cite this

Luk, C. H., Gao, C., Hammerstrom, D., Pavel, M., & Kerr, D. (2004). Biologically inspired enhanced vision system (EVS) for aircraft landing guidance. In 2004 IEEE International Joint Conference on Neural Networks - Proceedings (pp. 1751-1756). (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 3). https://doi.org/10.1109/IJCNN.2004.1380871