Title :
Enhanced and synthetic vision systems development based on Integrated Modular Avionics for civil aviation
Author_Institution :
State Res. Inst. of Aviation Syst., Moscow, Russia
Abstract :
The paper describes current results of a research and development (R&D) project aimed to create an advanced prototype of an Enhanced and Synthetic Vision System (ESVS). The paper contains functional requirements for the ESVS prototype and discusses the main principles of its development. Brief overview of ESVS hardware and platform is given. The following image processing algorithms of ESVS are described: image enhancement based on modification of the Retinex algorithm, image fusion based on a morphological approach, runway detection based on the original modification of Hough transform - Projection Hough Transform, and runway obstacles detection based on photogrammetric method. The main features of the synthetic vision function of ESVS are described which provide computationally efficient creation of a realistic three-dimensional (3D) out- the-cabin view using terrain, objects, and texture databases.
Keywords :
Hough transforms; aerospace computing; avionics; computer vision; image enhancement; image fusion; object detection; research and development; 3D out-the-cabin view; ESVS prototype; R&D project; Retinex algorithm; civil aviation; enhanced and synthetic vision system; image enhancement; image fusion; image processing algorithms; integrated modular avionics; morphological approach; photogrammetric method; projection Hough Transform; realistic three-dimensional out-the-cabin view; research and development; runway obstacle detection; texture databases; Aerospace electronics; Atmospheric modeling; Databases; Machine vision; Prototypes; Testing; Visualization;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
Print_ISBN :
978-1-4799-1536-1
DOI :
10.1109/DASC.2013.6712537
