FastSLAM
Sebastian Thrun
Verkauft von buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
AbeBooks-Verkäufer seit 23. Januar 2017
Neu - Softcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenVerkauft von buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
AbeBooks-Verkäufer seit 23. Januar 2017
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenNeuware -This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enormous attention in the robotics community in the past few years, reaching a peak of popularity on the occasion of the DARPA Grand Challenge in October 2005, which was won by the team headed by the authors. The FastSLAM family of algorithms applies particle filters to the SLAM Problem, which provides new insights into the data association problem that is paramount in SLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including the solution to the problem of people tracking.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.
Bestandsnummer des Verkäufers 9783642079788
This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enormous attention in the robotics community in the past few years, reaching a peak of popularity on the occasion of the DARPA Grand Challenge in October 2005, which was won by the team headed by the authors. The FastSLAM family of algorithms applies particle filters to the SLAM Problem, which provides new insights into the data association problem that is paramount in SLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including the solution to the problem of people tracking.
This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enormous attention in the robotics community in the past few years, reaching a peak of popularity on the occasion of the DARPA Grand Challenge in October 2005, which was won by the team headed by the authors. The FastSLAM family of algorithms applies particle filters to the SLAM Problem, which provides new insights into the data association problem that is paramount in SLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including the solution to the problem of people tracking.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Widerrufsbelehrung/ Muster-Widerrufsformular/
Allgemeine Geschäftsbedingungen und Kundeninformationen/ Datenschutzerklärung
Widerrufsrecht für Verbraucher
(Verbraucher ist jede natürliche Person, die ein Rechtsgeschäft zu Zwecken abschließt, die überwiegend weder ihrer gewerblichen noch ihrer selbstständigen beruflichen Tätigkeit zugerechnet werden kann.)
Widerrufsbelehrung
Widerrufsrecht
Sie haben das Recht, binnen vierzehn Tagen ohne Angabe von Gründen diesen Vertrag zu widerrufen.
Die Widerru...
Soweit in der Artikelbeschreibung keine andere Frist angegeben ist, erfolgt die Lieferung der Ware innerhalb von 3-5 Werktagen nach Vertragsschluss, bei Vorauszahlung erst nach Eingang des vollständigen Kaufpreises und der Versandkosten. Alle Preise inkl. MwSt.