Landmark identification based on projective and permutation invariant vectors

We address the issue of environment representation for navigational tasks by using reference scene patterns, the so-called landmarks, to adequately describe the robot's workspace. Mathematical tools from projective geometry are employed for landmark identification. A complete framework is presented for landmark extraction and recognition based on projective and point-permutation invariant vectors.