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Proceedings Paper

Implementing a shadow detection algorithm for synthetic vision systems in reconfigurable hardware
Author(s): Jumoke Ladeji-Osias; Andre Theobalds; Otsebele Nare; Theirry Wandji; Craig Scott; Kofi Nyarko
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Paper Abstract

The integrity monitor for synthetic vision systems provides pilots with a consistency check between stored Digital Elevation Models (DEM) and real-time sensor data. This paper discusses the implementation of the Shadow Detection and Extraction (SHADE) algorithm in reconfigurable hardware to increase the efficiency of the design. The SHADE algorithm correlates data from a weather radar and DEM to determine occluded regions of the flight path terrain. This process of correlating the weather radar and DEM data occurs in two parallel threads which are then fed into a disparity checker. The DEM thread is broken up into four main sub-functions: 1) synchronization and translation of GPS coordinates of aircraft to the weather radar, 2) mapping range bins to coordinates and computing depression angles, 3) mapping state assignments to range bins, and 4) shadow region edge detection. This correlation must be done in realtime; therefore, a hardware implementation is ideal due to the amount of data that is to be processed. The hardware of choice is the field programmable gate array because of programmability, reusability, and computational ability. Assigning states to each range bin is the most computationally intensive process and it is implemented as a finite state machine (FSM). Results of this work are focused on the implementation of the FSM.

Paper Details

Date Published: 19 May 2006
PDF: 10 pages
Proc. SPIE 6226, Enhanced and Synthetic Vision 2006, 622603 (19 May 2006); doi: 10.1117/12.665895
Show Author Affiliations
Jumoke Ladeji-Osias, Morgan State Univ. (United States)
Andre Theobalds, Morgan State Univ. (United States)
Otsebele Nare, Morgan State Univ. (United States)
Theirry Wandji, Morgan State Univ. (United States)
Craig Scott, Morgan State Univ. (United States)
Kofi Nyarko, Morgan State Univ. (United States)


Published in SPIE Proceedings Vol. 6226:
Enhanced and Synthetic Vision 2006
Jacques G. Verly; Jeff J. Guell, Editor(s)

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