Objective Thepurpose of the SKIDS project is to provide a basic generic approach, for both software and hardware, in the area of integration of sensory information and knowledge. "Sensory information" is understood as information coming from an outside, physical,real world, and "knowledge" as high-level symbolic representations and models of the external world and of the system's features and abilities. Such models are dynamically updated and partially acquired through learning. The ultimate goal of the project is a perception machine represented by the SKIDS demonstrator prototype and realising: -a unified perception of the observed world -real-time reasoning, planning and adaptation of the whole software and hardware configuration to the actual observations strategy. The purpose of the project was to provide a basic generic approach, for both software and hardware, in the area of integration of sensory information and knowledge. Sensory information is understood as information coming from an outside, physical, real world, and knowledge as high level symbolic representations and models of the external world and of the system's features and abilities. Such models are dynamically updated and partially acquired through learning. The demonstration environment where the prototype perception machine will run has been specified, in particular the sensor configuration. The functional architecture has been defined, and consists of 4 parts: the MMI the sensory chain, the interpretative chain, and the control and decisional chain. The last 2 parts are essential: the interpretation processs, which is data driven (continuous surveillance task) or goal driven (object recognition upon request) is segmented into elementary tasks which are driven by the knowledge based control system (KBCS). The KBCS selects the optimal interpretative path and manages the global resources allocation. The basic perception tasks that have been identified fall into 5 categories: detection, characterization, localization, tracking and identification. The sensors consist of fixed and pan and tilt cameras, microphones, optical barriers, a laser range finder, an ultrasonic belt, and an odometer, all mounted on a mobile platform. The hardware has already been specified and consists of a set of nodes linked via a ring bus. Basic tools for the software architecture have already been identified: they include inference engines and a rule compiler for achieving real time performance of the perception system. The objective is to achieve response time of a few seconds for indoors scene surveillance. The fusion of information from multiple cameras has been demonstrated successfully for single event tracking. Various tasks of detection, localization and recognition demonstrated t he soundness of the vision node architecture.The demonstration environment where the prototype perception machine will run has been specified, in particular the sensor configuration. The functional architecture has been defined, and consists of four parts: -the MMI -the sensory chain -the interpretative chain -the control and decisional chain. The last two parts are essential: the interpretation process, which is data-driven (continuous surveillance task) or goal-driven (object recognition upon request) is segmented into elementary tasks which are driven by the Knowledge-Based Control System (KBCS). The KBCS selects the optimal interpretative path and manages the global resources allocation. The basic perception tasks that have been identified fall into five categories: detection, characterisation, localisation, tracking and identification.The sensors consist of fixed and pan-and-tilt cameras, microphones, optical barriers, and a laser range finder, an ultrasonic belt, and an odometer, all mounted on a mobile platform. The hardware has already been specified and consists of a set of nodes (VME clusters) linked via a Capitan ring bus. Basic tools for the software architecture have already been identified: they include inference engines and a rule compiler (KHEOPS) for achieving real-time performance of the perception system. The objective isto ach eve response time of a few seconds for indoors scene surveillance. The fusion of information from multiple cameras has been demonstrated successfully for single event tracking. Various tasks of detection, localisation and recognition demonstrated the soundness of the vision node architecture, which consists of a Datacubesystem connected to a transputer array and hosted in a SUN3. Exploitation The approach is basically a generic one, but is driven by two classes of application: -mobile robots for public safety applications in nuclear plants, etc -surveillance systems for offshore oil fields, nuclear plants, airports, etc. Fields of science natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsnatural sciencesphysical sciencesopticslaser physics Programme(s) FP1-ESPRIT 1 - European programme (EEC) for research and development in information technologies (ESPRIT), 1984-1988 Topic(s) Data not available Call for proposal Data not available Funding Scheme Data not available Coordinator MATRA SA Address 3 avenue du centre 78052 Saint-quentin-en-yvelines France See on map EU contribution € 0,00 Participants (7) Sort alphabetically Sort by EU Contribution Expand all Collapse all British Aerospace plc United Kingdom EU contribution € 0,00 Address Sowerby research centre filton BS12 7QW Bristol See on map CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE France EU contribution € 0,00 Address Avenue du colonel roche,7 31077 Toulouse See on map CHR. F. ROVSING A/S Denmark EU contribution € 0,00 Address Adelgade 1 1304 Koebenhavn See on map Krupp Atlas Elektronik GmbH Germany EU contribution € 0,00 Address Sebaldsbrücker heerstraße 235 28309 Bremen See on map MAPS INFORMATICA INDUSTRIAL Spain EU contribution € 0,00 Address Monegal 08023 Barcelona See on map THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD United Kingdom EU contribution € 0,00 Address Parks road OX1 3PJ Oxford See on map UNIV POLITECNICA DE CATALUNYA Spain EU contribution € 0,00 Address C/pau gargallo apartado 30002 08028 Barcelona See on map
