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

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

doi:10.1109/IJCNN.2004.1380871

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

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

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2004 IEEE International Joint Conference on Neural Networks - Proceedings
Pages	1751-1756
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2004.1380871
State	Published - 2004
Event	2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary Duration: Jul 25 2004 → Jul 29 2004

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
Volume	3
ISSN (Print)	1098-7576

Other

Other	2004 IEEE International Joint Conference on Neural Networks - Proceedings
Country/Territory	Hungary
City	Budapest
Period	7/25/04 → 7/29/04

ASJC Scopus subject areas

Software

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10.1109/IJCNN.2004.1380871

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

Biologically inspired enhanced vision system (EVS) for aircraft landing guidance. / Luk, Chiu Hung; Gao, Changjian; Hammerstrom, Dan et al.
2004 IEEE International Joint Conference on Neural Networks - Proceedings. 2004. p. 1751-1756 (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Luk, CH, 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. IEEE International Conference on Neural Networks - Conference Proceedings, vol. 3, pp. 1751-1756, 2004 IEEE International Joint Conference on Neural Networks - Proceedings, Budapest, Hungary, 7/25/04. https://doi.org/10.1109/IJCNN.2004.1380871

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AB - 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.

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

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