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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| Định dạng: | Online |
| Ngôn ngữ: | Tiếng Đức |
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KIT Scientific Publishing
2021
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| Truy cập trực tuyến: | ONIX_20210723_9783731510741_12 |
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| _version_ | 1869526879869861888 |
|---|---|
| author | Emter, Thomas |
| author_browse | Emter, Thomas |
| author_facet | Emter, Thomas |
| author_sort | Emter, Thomas |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-71425 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-714252025-08-13T14:12:37Z Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme Emter, Thomas Mobile Robotersysteme Multi-Sensor-Fusion Lokalisierung Kartierung SLAM Mobile robotic systems multi-sensor fusion localization mapping thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists 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. 2021-07-24T04:02:40Z 2021-07-24T04:02:40Z 2021-07-23T15:11:28Z 2021 book ONIX_20210723_9783731510741_12 OCN: 1266290337 1863-6489 https://library.oapen.org/handle/20.500.12657/50173 9783731510741 https://directory.doabooks.org/handle/20.500.12854/71425 ger Karlsruher Schriften zur Anthropomatik open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/50173/1/9783731510741.pdf https://library.oapen.org/bitstream/20.500.12657/50173/1/9783731510741.pdf https://library.oapen.org/bitstream/20.500.12657/50173/1/9783731510741.pdf https://library.oapen.org/bitstream/20.500.12657/50173/1/9783731510741.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000128137 10.5445/KSP/1000128137 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731510741 AG Universitätsverlage KIT Scientific Publishing 272 Karlsruhe open access |
| spellingShingle | Mobile Robotersysteme Multi-Sensor-Fusion Lokalisierung Kartierung SLAM Mobile robotic systems multi-sensor fusion localization mapping thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists Emter, Thomas Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title | Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title_full | Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title_fullStr | Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title_full_unstemmed | Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title_short | Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
| title_sort | integrierte multi sensor fusion fur die simultane lokalisierung und kartenerstellung fur mobile robotersysteme |
| topic | Mobile Robotersysteme Multi-Sensor-Fusion Lokalisierung Kartierung SLAM Mobile robotic systems multi-sensor fusion localization mapping thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| topic_facet | Mobile Robotersysteme Multi-Sensor-Fusion Lokalisierung Kartierung SLAM Mobile robotic systems multi-sensor fusion localization mapping thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| url | ONIX_20210723_9783731510741_12 |
| work_keys_str_mv | AT emterthomas integriertemultisensorfusionfurdiesimultanelokalisierungundkartenerstellungfurmobilerobotersysteme |