作者: Roland Siegwart , Adriana Tapus , Francesco P. Battaglia
DOI:
关键词: Robot 、 Matching (graph theory) 、 Animat 、 Orientation (computer vision) 、 Computer vision 、 Robotics 、 Artificial intelligence 、 Computer science 、 Fingerprint (computing) 、 Structure (mathematical logic) 、 Representation (systemics)
摘要: In this paper we address the problem of autonomous navigation seen from neuroscience and robotics point view. A new topological mapping system is presented. It combines local features (i.e. visual distance cues) in a unique structure – “fingerprint place” that results consistent, compact distinctive representation. Overall, suggest process fingerprint matching can efficiently determine orientation, location within environment, construction map, may play role emerging spatial representations hippocampus