Lilja robin (7 resultados)

Filtrar la búsqueda

  • Libros (7)

a

Intervalo de precios personalizado (EUR)

a

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2011

      3845417080 / 9783845417080

      • Tapa blanda

      Librería: preigu, Osnabrück, Alemaniapreigu

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 43,40

      Envío por EUR 70,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 5 disponibles

      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2011

      3845417080 / 9783845417080

      • Tapa blanda

      Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

      Vendedor de 4 estrellas
      Contactar con el vendedor

      Condición: Usado - Como Nuevo

      EUR 121,39

      Envío por EUR 29,17 
      Se envía de Reino Unido a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Más imágenes

      Condición: Usado

      EUR 150,23

      Envío por EUR 35,01 
      Se envía de Reino Unido a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Añadir al carrito

      First edition, first printing. Limited edition. Signed by the editors and illustrator. Publisher's original red faux leather, with gilt titles to the spine and illustration to the upper board, in the Francois Vaillancourt illustrated dustwrapper. Housed in the red faux leather slipcase with rectangular cut out. Publisher's bookmark loosely laid in. Illustrated with one full page illustration each by Brooklyn Ann, Tyler Baker, Ben Baldwin, Dirk Berger, Kristen Bird, Emily Blondin, Glenn Chadbourne, Greg Chapman, Vincent Chong, Justin T. Coons, Sarah X. Dylan, Scott Griffin, Lynne Hansen, Eli John, Bailey Ann McDonald, Vincent Sammy, Tomislav Tikulin, Ray Wegner, Erin S. Wells and Charles Paul Wilson III. A fine copy, the binding square and firm, the contents are clean throughout and without inscriptions or stamps. Complete with the fine original dustwrapper, which is free from fading, loss or tears. Not price-clipped ($150 to the front flap). Housed in the fine, structurally sound slipcase. Issued in an edition of 1119 copies signed by the editors Brian James Freeman, Richard Chizmar and dustwrapper illustrator Francois Vaillancourt in black ink on the limitation page. A collection of 20 essays about Stephen King's 'Carrie' and the impact the novel has had on popular culture, the horror genre and publishing world. Introduced by Stephen King with an 'Artwork Gallery' of 20 illustrations inspired by the novel. Further details and images for any of the items listed are available on request. All items are catalogued by humans. Lucius Books welcomes direct contact with our customers.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Sep 2011, 2011

      3845417080 / 9783845417080

      • Tapa blanda
      • Impresión bajo demanda

      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 49,00

      Envío por EUR 23,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 2 disponibles

      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2011

      3845417080 / 9783845417080

      • Tapa blanda
      • Impresión bajo demanda

      Librería: moluna, Greven, Alemaniamoluna

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 41,05

      Envío por EUR 48,99 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: Más de 20 disponibles

      Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2011

      3845417080 / 9783845417080

      • Tapa blanda
      • Impresión bajo demanda

      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 70,99

      Envío por EUR 30,50 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: 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.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Sep 2011, 2011

      3845417080 / 9783845417080

      • Tapa blanda
      • Impresión bajo demanda

      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

      Vendedor de 5 estrellas
      Contactar con el vendedor

      Condición: Nuevo

      EUR 49,00

      Envío por EUR 60,00 
      Se envía de Alemania a Estados Unidos de America

      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: 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.