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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.
Umfang: XII, 165 S.
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Rabe, J. 2019. Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000086154
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Veröffentlicht am 10. Januar 2019
Englisch
196
| Paperback | 978-3-7315-0854-0 |