Zobrazeno 1 - 10
of 675
pro vyhledávání: '"M, Arens"'
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 2325-2343 (2022)
Lycopsids represent a distinct lineage of vascular plants with a long evolutionary history including numerous extant and extinct species that started out as tiny herbaceous plants and later went on to grow into forests with tree-like structures. They
Externí odkaz:
https://doaj.org/article/c0f79900a3464c059f720172f419161e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 131-138 (2021)
This paper presents an approach which combines LiDAR sensors and cameras of a mobile multi-sensor system to obtain information about pedestrians in the vicinity of the sensor platform. Such information can be used, for example, in the context of driv
Externí odkaz:
https://doaj.org/article/f34de21c8f71477790a397b7de1168dc
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 313-320 (2021)
The reconstruction of accurate three-dimensional environment models is one of the most fundamental goals in the field of photogrammetry. Since satellite images provide suitable properties for obtaining large-scale environment reconstructions, there e
Externí odkaz:
https://doaj.org/article/e8fb1f230f5346b6841bace6cb77201a
EFFICIENT TOUR PLANNING FOR A MEASUREMENT VEHICLE BY COMBINING NEXT BEST VIEW AND TRAVELING SALESMAN
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 729-736 (2021)
Path planning for a measuring vehicle requires solving two popular problems from computer science, namely the search for the optimal tour and the search for the optimal viewpoint. Combining both problems results in a new variation of the Traveling Sa
Externí odkaz:
https://doaj.org/article/502ad098214f49058cb22bc9d1a7c188
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 703-710 (2020)
Change detection is an important tool for processing multiple epochs of mobile LiDAR data in an efficient manner, since it allows to cope with an otherwise time-consuming operation by focusing on regions of interest. State-of-the-art approaches usual
Externí odkaz:
https://doaj.org/article/f82ea3fa2f4a4f1ea10580474c72007d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 187-194 (2020)
This paper presents and extends an approach for the detection of pedestrians in unstructured point clouds resulting from single MLS (mobile laser scanning) scans. The approach is based on a neural network and a subsequent voting process. The neural n
Externí odkaz:
https://doaj.org/article/5484d6e800334d61972e4fa195cbdf05
Publikováno v:
Earth Surface Dynamics, Vol 8, Pp 527-553 (2020)
The way in which sediment is transported (creep, saltation, suspension), is traditionally interpreted from grain size distribution characteristics. However, the grain size range associated with transitions from one transport mode to the other is high
Externí odkaz:
https://doaj.org/article/c98de4d2fcc249c9bff8f28e05a32d96
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W7, Pp 39-46 (2019)
Recording an ever-changing urban environment in a structured manner requires sensor deployment planning. In case of mobile sensor platforms, this also includes verifying the terrain navigability. Solving both tasks would usually require different app
Externí odkaz:
https://doaj.org/article/7bb3444d1e6246cabade1b9a25ba02f5
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W7, Pp 17-24 (2019)
This paper presents an approach which uses a PointNet-like neural network to detect objects of certain types in MLS point clouds. In our case, it is used for the detection of pedestrians, but the approach can easily be adapted to other object classes
Externí odkaz:
https://doaj.org/article/cdbe5b432f3c4ae1a55c1f7618b9e928
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 357-364 (2019)
This paper proposes a change detection approach that uses a low-resolution octree enhanced with Gaussian kernels to describe free and occupied space. This so-called Gaussian Occupancy Octree is derived from range measurements and used to represent sp
Externí odkaz:
https://doaj.org/article/3ff027f31c71434e9029774ce68ff0c5