Fastslam : (Record no. 34460)

MARC details
000 -LEADER
fixed length control field 01926nam a2200277 a 4500
001 - CONTROL NUMBER
control field vtls000020819
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117144339.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 070817s2007 gw f 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540463993
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3540463992
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201203222026
Level of effort used to assign nonsubject heading access points ida
Level of effort used to assign subject headings 201107131922
Level of effort used to assign classification VLOAD
Level of effort used to assign subject headings 200908141329
Level of effort used to assign classification VLOAD
Level of effort used to assign subject headings 200908141301
Level of effort used to assign classification VLOAD
-- 200708170950
-- kam
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TJ211.35 .M66 2007
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Montemerlo, Michael
245 10 - TITLE STATEMENT
Title Fastslam :
Remainder of title a scalable method for the the simultaneous localization and mapping problem in robotics /
Statement of responsibility, etc. Michael Montemerlo, Sebastian Thrun
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Berlin :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2007
300 ## - PHYSICAL DESCRIPTION
Extent 119 p. :
Other physical details ill. (some col.), maps ;
Dimensions 24 cm.
520 ## - SUMMARY, ETC.
Summary, etc. 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, 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robots
General subdivision Control systems
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mobile robots
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data transmission systems
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cartography
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thrun, Sebastian
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
  Not lost Library of Congress Classification     UMPLIB PEKAN UMPLIB PEKAN 04/09/2019 281.88   TJ211.35 .M66 2007 0000024571 04/09/2019 1 281.88 04/09/2019 Open Shelf

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