Title :
Real-time 3D-tracking using acoustics-vision data fusion
Author :
Cadou, O. ; Verhulst, A. ; Olivier, C. ; Dessoude, O.
Author_Institution :
Lab. Systeme de Perception, ETCA, Arcueil, France
Abstract :
The study of perception, an essential junction for autonomous robotics, has lead to new developments in the fields of modelization, data fusion and control. This paper describes a real-size real-time heterogeneous data fusion algorithm implementation on a surveillance robot, which has become necessary to validate these emerging techniques in a realistic environment. The two heterogeneous sensors concerned here are a black and white camera and an acoustic array
Keywords :
acoustic transducers; computer vision; navigation; robots; tracking; acoustic array; acoustics-vision data fusion; autonomous robotics; camera; heterogeneous sensors; modelization; perception; real-size real-time heterogeneous data fusion algorithm; surveillance robot; Acoustic arrays; Acoustic sensors; Acoustic testing; Cameras; Communication system control; Hardware; Robot sensing systems; Sensor arrays; Signal processing algorithms; Surveillance;
Conference_Titel :
Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-0067-X
DOI :
10.1109/IROS.1991.174637
