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

被引：0

作者：

Luk, CH ^{[1
]}

Gao, CJ ^{[1
]}

Hammerstrom, D ^{[1
]}

Pavel, M ^{[1
]}

Kerr, D ^{[1
]}

机构：

[1] Oregon Hlth & Sci Univ, OGI Sch Sci & Engn, Portland, OR 97201 USA

来源：

2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1751 / 1756

页数：6

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