Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Januar 2007
Genre:	Naturwissensch., Medizin, Technik
	Applied mathematics / Artificial Intelligence / Automatic control engineering / Automation / B / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Control engineering / Control, Robotics, Automation / Control, Robotics, Mechatronics / Electronic devices & materials / engineering / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical optimization / Maths for engineers / Mechatronics / Optical data processing / Optimization / Robotics / Robotics and Automation mehr...
ISBN:	9783540463993
EAN-Code:	9783540463993
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#27 - Springer Tracts in Advanced Robotics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	402 gr
Seiten:	120
Illustration:	XVI, 120 p. 50 illus., 41 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.