We present an integration of classical computer
vision techniques to achieve real-time autonomous steering
of an unmanned aircraft along the boundary of different
regions. We present two solutions, based on the same conceptual
framework, to track coastlines and to follow roads surrounded
by forests. In particular, we exploit color and texture properties
to differentiate between the two region types in each of the
aforementioned domains. The performance of these methods are
evaluated using different experimental approaches, including a
fully automated real-time flight outdoors over a 1km trajectory.