Currently, automatic landing systems heavily rely on beacons and systems on the ground to determine the path towards a landing spot. In the myCopter project we are developing vision algorithms that can perform robust and real-time automated landing place assessment in man-made environments. With our approach, landing sites are assessed as featureless, but regularly shaped, areas in the image that typically characterise man-made landing structures. Examples include prepared landing surfaces such as runways and landing pads, as well as unprepared ones, including grass fields, dirt strips and building rooftops. This video shows a novel image segmentation and shape regularity measure that we have developed.