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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Bibliographic Details
Main Author: Rabe, Johannes (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2018
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation 
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520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a localization augmented Reality navigation route guidance particle filter 
653 |a Lokalisierung Erweiterte Realität Navigation Routenführung Partikelfilter 
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