dc.identifier.uri |
http://dx.doi.org/10.15488/10154 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/10226 |
|
dc.contributor.author |
Busch, S.
|
|
dc.contributor.editor |
Vosselman, G.
|
|
dc.contributor.editor |
Oude, Elberink, S.J.
|
|
dc.contributor.editor |
Yang, M.Y.
|
|
dc.date.accessioned |
2020-11-03T09:48:30Z |
|
dc.date.available |
2020-11-03T09:48:30Z |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
Busch, S.: Active shape model precision analysis of vehicle detection in 3D lidar point clouds. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2019), Nr. 2/W13, S. 21-26. DOI: https://doi.org/10.5194/isprs-archives-XLII-2-W13-21-2019 |
|
dc.description.abstract |
LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses of vehicles from LiDAR point clouds. To this end, we measure them with LiDAR, segment the vehicle points and extract the pose. Further, we analyze the influence of LiDAR resolutions on the pose extraction by active shape models (ASM) and by the center of bounding boxes combined with the principal component analysis (BC-PCA). © Authors 2019. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Göttingen : Copernicus GmbH |
|
dc.relation.ispartof |
ISPRS Technical Commission III Symposium : 5 – 7 September 2014, Zurich, Switzerland |
|
dc.relation.ispartofseries |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-2/W13 |
|
dc.rights |
CC BY 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
Active Shape Model |
eng |
dc.subject |
LiDAR |
eng |
dc.subject |
Point Cloud |
eng |
dc.subject |
Pose Estimation |
eng |
dc.subject |
Segmentation |
eng |
dc.subject |
Vehicle Detection |
eng |
dc.subject |
Automobile drivers |
eng |
dc.subject |
Image segmentation |
eng |
dc.subject |
Motion estimation |
eng |
dc.subject |
Optical radar |
eng |
dc.subject |
Vehicles |
eng |
dc.subject |
Active shape model |
eng |
dc.subject |
Active Shape Models |
eng |
dc.subject |
Driver assistance system |
eng |
dc.subject |
Lidar point clouds |
eng |
dc.subject |
Movement prediction |
eng |
dc.subject |
Point cloud |
eng |
dc.subject |
Pose estimation |
eng |
dc.subject |
Vehicle detection |
eng |
dc.subject |
Principal component analysis |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
550 | Geowissenschaften
|
ger |
dc.title |
Active shape model precision analysis of vehicle detection in 3D lidar point clouds |
|
dc.type |
Article |
eng |
dc.type |
Text |
eng |
dc.relation.essn |
2194-9034 |
|
dc.relation.issn |
1682-1750 |
|
dc.relation.doi |
https://doi.org/10.5194/isprs-archives-XLII-2-W13-21-2019 |
|
dc.relation.doi |
https://doi.org/10.5194/isprs-archives-xlii-2-w13-21-2019 |
|
dc.bibliographicCitation.issue |
2/W13 |
|
dc.bibliographicCitation.volume |
XLII-2/W13 |
|
dc.bibliographicCitation.firstPage |
21 |
|
dc.bibliographicCitation.lastPage |
26 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|