Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme

In this work, probabilistic methods for combining multiple sensors utilizing multi-sensor fusion for robust and precise localization and mapping in heterogeneous outdoor environments are presented. Aspects of increasing the reliability of landmark recognition are highlighted, as well as the integrat...

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Bibliographic Details
Main Author: Emter, Thomas (auth)
Format: eBook
Published: Karlsruhe KIT Scientific Publishing 2021
Subjects:
Online Access:Get fulltext
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020 |a KSP/1000128137 
020 |a 9783731510741 
024 7 |a 10.5445/KSP/1000128137  |c doi 
041 0 |h German 
042 |a dc 
100 1 |a Emter, Thomas  |e auth 
245 1 0 |a Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme 
260 |a Karlsruhe  |b KIT Scientific Publishing  |c 2021 
300 |a 1 electronic resource (272 p.) 
856 |z Get fulltext  |u https://library.oapen.org/handle/20.500.12657/50173 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a In this work, probabilistic methods for combining multiple sensors utilizing multi-sensor fusion for robust and precise localization and mapping in heterogeneous outdoor environments are presented. Aspects of increasing the reliability of landmark recognition are highlighted, as well as the integration of additional absolute and relative sensors using advanced filtering techniques. 
540 |a Creative Commons 
546 |a German 
650 7 |a Maths for computer scientists  |2 bicssc 
653 |a Mobile Robotersysteme 
653 |a Multi-Sensor-Fusion 
653 |a Lokalisierung 
653 |a Kartierung 
653 |a SLAM 
653 |a Mobile robotic systems 
653 |a multi-sensor fusion 
653 |a localization 
653 |a mapping