Improving trajectory estimation using 3D city models and kinematic point clouds-Reference-Cited by-同舟云学术

Improving trajectory estimation using 3D city models and kinematic point clouds

Published:2021-01-02 Issue:1 Volume:25 Page:238-260
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Transactions in GIS

Author:

Lucks Lukas¹,Klingbeil Lasse²,Plümer Lutz³,Dehbi Youness²^ORCID

Affiliation:

1. Fraunhofer (IOSB) Institute of Optronics System Technologies and Image Exploitation Ettlingen Germany

2. Institute for Geodesy and Geoinformation University of Bonn Bonn Germany

3. Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Chengdu China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12719

Reference37 articles.

1. Georeferencing of an Unmanned Aerial System by Means of an Iterated Extended Kalman Filter Using a 3D City Model

2. GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization

3. Airborne LiDAR feature selection for urban classification using random forests;Chehata N.;International Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences,2009

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