Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current...
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| Format: | Online |
| Langue: | anglais |
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KIT Scientific Publishing
2021
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| Accès en ligne: | 34144 |
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| _version_ | 1869523232774684672 |
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| author | Rabe, Johannes |
| author_browse | Rabe, Johannes |
| author_facet | Rabe, Johannes |
| author_sort | Rabe, Johannes |
| collection | Directory of Open Access Books |
| description | This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations. |
| format | Online |
| id | doab-20.500.12854ir-51371 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-513712024-04-09T23:16:48Z Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation Rabe, Johannes T1-995 localization augmented Reality navigation route guidance particle filter Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations. 2021-02-11T17:23:32Z 2021-02-11T17:23:32Z 2019-07-28 18:37:01 2018 book 34144 16134214 9783731508540 https://directory.doabooks.org/handle/20.500.12854/51371 eng Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731508540 KIT Scientific Publishing 10.5445/KSP/1000086154 10.5445/KSP/1000086154 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731508540 XII, 165 p. open access |
| spellingShingle | T1-995 localization augmented Reality navigation route guidance particle filter Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Rabe, Johannes Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title | Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title_full | Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title_fullStr | Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title_full_unstemmed | Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title_short | Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation |
| title_sort | lane precise localization with production vehicle sensors and application to augmented reality navigation |
| topic | T1-995 localization augmented Reality navigation route guidance particle filter Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 localization augmented Reality navigation route guidance particle filter Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 34144 |
| work_keys_str_mv | AT rabejohannes lanepreciselocalizationwithproductionvehiclesensorsandapplicationtoaugmentedrealitynavigation |