Schachtschneider, J.; Brenner, C.: Creating multi-temporal maps of urban environments of improved localization of autonomous vehicles. In: Paparoditis, N. et al. (Eds.): XXIV ISPRS Congress, Commission III : edition 2020. Katlenburg-Lindau : Copernicus Publications, 2020. (ISPRS Archives ; 43,B2), S. 317-323. DOI: https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-317-2020
Zusammenfassung: | |
The development of automated and autonomous vehicles requires highly accurate long-term maps of the environment. Urban areas contain a large number of dynamic objects which change over time. Since a permanent observation of the environment is impossible and there will always be a first time visit of an unknown or changed area, a map of an urban environment needs to model such dynamics. In this work, we use LiDAR point clouds from a large long term measurement campaign to investigate temporal changes. The data set was recorded along a 20 km route in Hannover, Germany with a Mobile Mapping System over a period of one year in bi-weekly measurements. The data set covers a variety of different urban objects and areas, weather conditions and seasons. Based on this data set, we show how scene and seasonal effects influence the measurement likelihood, and that multi-temporal maps lead to the best positioning results. © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. | |
Lizenzbestimmungen: | CC BY 4.0 Unported |
Publikationstyp: | BookPart |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2020 |
Die Publikation erscheint in Sammlung(en): | Fakultät für Bauingenieurwesen und Geodäsie |
Pos. | Land | Downloads | ||
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Anzahl | Proz. | |||
1 | Germany | 23 | 42,59% | |
2 | United States | 15 | 27,78% | |
3 | China | 5 | 9,26% | |
4 | Iran, Islamic Republic of | 3 | 5,56% | |
5 | Russian Federation | 2 | 3,70% | |
6 | No geo information available | 1 | 1,85% | |
7 | Taiwan | 1 | 1,85% | |
8 | India | 1 | 1,85% | |
9 | Spain | 1 | 1,85% | |
10 | Czech Republic | 1 | 1,85% | |
andere | 1 | 1,85% |
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