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A Localisation and Navigation System for an Autonomous Wheel Loader: Kalman Filter Sensor Fusion Applied in a Real-time Environment - Softcover
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Autonomous vehicles are an emerging trend in robotics, seen in a vast range of applications and environments. In an ongoing industrial project a fully autonomous wheel loader is being developed. This work (Master’s Thesis) proposes a solution to two of the main problems encountered when developing such vehicle - namely the problems of how to localise and navigate the vehicle in its task space. The proposed solution relies – at its fulcrum - on the widely known and commonly accepted Kalman filter. Different vehicle models used by the Kalman filter for conducting sensor fusion are derived and evaluated on real datasets collected from different environments. In order to solve the problem of navigating the vehicle a waypoint-based path following algorithm is adopted. As a given objective by the industrial project the found solution is implemented and integrated into the real-time environment of a full size autonomous wheel loader, and where the final system is demonstrated as a proof of concept for utilising autonomous wheel loaders for repetitive work tasks.
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Über die Autorin bzw. den Autor
Robin Lilja has been studying at Malardalen University (MDU, Sweden) and the University of Western Australia (UWA). In 2011 he graduated from MDU with the degree of Master of Science in Robotics Engineering. Currently he is working with real-time communication systems in the next generation of high-speed trains.
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A Localisation and Navigation System for an Autonomous Wheel Loader
Verlag:
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Autonomous vehicles are an emerging trend in robotics, seen in a vast range of applications and environments. In an ongoing industrial project a fully autonomous wheel loader is being developed. This work (Master s Thesis) proposes a solution to two of the main problems encountered when developing such vehicle - namely the problems of how to localise and navigate the vehicle in its task space. The proposed solution relies at its fulcrum - on the widely known and commonly accepted Kalman filter. Different vehicle models used by the Kalman filter for conducting sensor fusion are derived and evaluated on real datasets collected from different environments. In order to solve the problem of navigating the vehicle a waypoint-based path following algorithm is adopted. As a given objective by the industrial project the found solution is implemented and integrated into the real-time environment of a full size autonomous wheel loader, and where the final system is demonstrated as a proof of concept for utilising autonomous wheel loaders for repetitive work tasks. 104 pp. Englisch. Bestandsnummer des Verkäufers 9783845417080
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A Localisation and Navigation System for an Autonomous Wheel Loader
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lilja RobinRobin Lilja has been studying at Malardalen University (MDU, Sweden) and the University of Western Australia (UWA). In 2011 he graduated from MDU with the degree of Master of Science in Robotics Engineering. Currently he i. Bestandsnummer des Verkäufers 5481448
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A Localisation and Navigation System for an Autonomous Wheel Loader
Verlag:
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Autonomous vehicles are an emerging trend in robotics, seen in a vast range of applications and environments. In an ongoing industrial project a fully autonomous wheel loader is being developed. This work (Master's Thesis) proposes a solution to two of the main problems encountered when developing such vehicle - namely the problems of how to localise and navigate the vehicle in its task space. The proposed solution relies - at its fulcrum - on the widely known and commonly accepted Kalman filter. Different vehicle models used by the Kalman filter for conducting sensor fusion are derived and evaluated on real datasets collected from different environments. In order to solve the problem of navigating the vehicle a waypoint-based path following algorithm is adopted. As a given objective by the industrial project the found solution is implemented and integrated into the real-time environment of a full size autonomous wheel loader, and where the final system is demonstrated as a proof of concept for utilising autonomous wheel loaders for repetitive work tasks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Bestandsnummer des Verkäufers 9783845417080
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A Localisation and Navigation System for an Autonomous Wheel Loader : Kalman Filter Sensor Fusion Applied in a Real-time Environment
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous vehicles are an emerging trend in robotics, seen in a vast range of applications and environments. In an ongoing industrial project a fully autonomous wheel loader is being developed. This work (Master s Thesis) proposes a solution to two of the main problems encountered when developing such vehicle - namely the problems of how to localise and navigate the vehicle in its task space. The proposed solution relies at its fulcrum - on the widely known and commonly accepted Kalman filter. Different vehicle models used by the Kalman filter for conducting sensor fusion are derived and evaluated on real datasets collected from different environments. In order to solve the problem of navigating the vehicle a waypoint-based path following algorithm is adopted. As a given objective by the industrial project the found solution is implemented and integrated into the real-time environment of a full size autonomous wheel loader, and where the final system is demonstrated as a proof of concept for utilising autonomous wheel loaders for repetitive work tasks. Bestandsnummer des Verkäufers 9783845417080
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A Localisation and Navigation System for an Autonomous Wheel Loader | Kalman Filter Sensor Fusion Applied in a Real-time Environment
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
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Taschenbuch. Zustand: Neu. A Localisation and Navigation System for an Autonomous Wheel Loader | Kalman Filter Sensor Fusion Applied in a Real-time Environment | Robin Lilja | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845417080 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106821688
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A Localisation and Navigation System for an Autonomous Wheel Loader: Kalman Filter Sensor Fusion Applied in a Real-time Environment
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845417080
ISBN 13: 9783845417080
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