Title :
Knowledge-based multisensor data integration applied to road detection
Author :
Faraboschi, Paolo ; Giusto, Daniele D. ; Guidetti, Elio ; Regazzoni, Carlo S. ; Vernazza, Gianni
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The authors present a knowledge-based architecture that integrates data provided by different sensors to achieve a more reliable description of a scene and to meet safety requirements. The high complexity of this operation is reduced by acquiring, filtering, segmenting, and extracting features (described by means of frames) from each separate sensor channel. Procedural knowledge (production rules) drives the fusion process, linking to a symbolic frame all the segmented regions characterized by similar properties. The system has been applied to road detection in outdoor natural scenes. Results are promising, and a test performed to assess the system capabilities has been fully satisfactory
Keywords :
computer vision; computerised picture processing; knowledge based systems; acquiring; computer vision; computerised picture processing; extracting features; filtering; frames; knowledge-based architecture; multisensor data integration; outdoor natural scenes; production rules; road detection; segmenting; Data mining; Feature extraction; Filtering; Joining processes; Layout; Production; Roads; Safety; Sensor phenomena and characterization; System testing;
Conference_Titel :
Electrotechnical Conference, 1989. Proceedings. 'Integrating Research, Industry and Education in Energy and Communication Engineering', MELECON '89., Mediterranean
Conference_Location :
Lisbon
DOI :
10.1109/MELCON.1989.50033
