Add to ORKGColumn stores have become the de-facto standard for most datawarehouse solutions. The regularity and query patterns of LIDAR data are a potential application area well suited for this technology. In this short work in progress paper we report on our experiences in supporting point cloud data using PostGIS, Oracle spatial, and MonetDB. Our preliminary results shows significant benefit from considering this technolog
htmlabstractThe popularity, availability and sizes of point cloud data sets are increasing, thus rai...
LiDAR sensors play a crucial role in autonomous driving and advanced driver assistance systems. By f...
A large proportion of today’s digital data has a spatial component. The storage and effective 10 man...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of ...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
This research is aimed to answer the main research question: to what extent we can use LiDAR point c...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become important f...
International audienceIn addition to more traditional geographical data such as images (rasters) and...
Point cloud data are important sources for 3D geo-information. The point cloud data sets are growing...
In recent years laser scanning and terrestrial imaging have enabled the collection of large amounts ...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
Due to the spread of economically priced laser scanning technology nowadays, especially in the field...
Current state-of-the-art point cloud data management (PCDM) systems rely on a variety of parallel ar...
Due to the spread of economically priced laser scanning technology nowadays, especially in the field...
htmlabstractThe popularity, availability and sizes of point cloud data sets are increasing, thus rai...
LiDAR sensors play a crucial role in autonomous driving and advanced driver assistance systems. By f...
A large proportion of today’s digital data has a spatial component. The storage and effective 10 man...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of ...
Currently large data sets, such as country wise LiDAR scans, are being collected and combined with l...
This research is aimed to answer the main research question: to what extent we can use LiDAR point c...
Dealing with LIDAR data in the context of database management systems calls for a re-assessment of t...
The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become important f...
International audienceIn addition to more traditional geographical data such as images (rasters) and...
Point cloud data are important sources for 3D geo-information. The point cloud data sets are growing...
In recent years laser scanning and terrestrial imaging have enabled the collection of large amounts ...
With laser scanning (including laser altimetry and multi-beam echo sounding), many data points, call...
Due to the spread of economically priced laser scanning technology nowadays, especially in the field...
Current state-of-the-art point cloud data management (PCDM) systems rely on a variety of parallel ar...
Due to the spread of economically priced laser scanning technology nowadays, especially in the field...
htmlabstractThe popularity, availability and sizes of point cloud data sets are increasing, thus rai...
LiDAR sensors play a crucial role in autonomous driving and advanced driver assistance systems. By f...
A large proportion of today’s digital data has a spatial component. The storage and effective 10 man...