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: | eBook |
| Language: | English |
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KIT Scientific Publishing
2018
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| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/ |
| Physical Description: | 1 electronic resource (XII, 165 p. p.) |
| ISBN: | 1000086154 9783731508540 |