This approach addresses two difficulties simultaneously: 1)
the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in
monocular aerial images. With the suggested method building outlines can be detected
faster than the mobile robot can explore the area by itself, giving the robot an ability to
“see” around corners. At the same time, the approach can compensate for the absence
of elevation data in segmentation of aerial images. Our experiments demonstrate that
ground-level semantic information (wall estimates) allows to focus the segmentation of
the aerial image to find buildings and produce a ground-level semantic map that covers
a larger area than can be built using the onboard sensors.
Acesta a fost un proiect de semestru pentru facultate. Tema este gestiunea unei biblioteci. Poate fi util pentru incepatorii in VFP. Contine interfata grafica, iar in arhiva proiectului se gaseste si diagrama ER a bazei de date.
