TY  - GEN
A1  - Trapp, Matthias
A1  - Döllner, Jürgen Roland Friedrich
T1  - Real-time Screen-space Geometry Draping for 3D Digital Terrain Models
T2  - 2019 23rd International Conference Information Visualisation (IV)
N2  - A fundamental task in 3D geovisualization and GIS applications is the visualization of vector data that can represent features such as transportation networks or land use coverage. Mapping or draping vector data represented by geometric primitives (e.g., polylines or polygons) to 3D digital elevation or 3D digital terrain models is a challenging task. We present an interactive GPU-based approach that performs geometry-based draping of vector data on per-frame basis using an image-based representation of a 3D digital elevation or terrain model only.
KW  - Geometry Draping
KW  - Geovisualization
KW  - GPU-based Real-time Rendering
Y1  - 2019
SN  - 978-1-7281-2838-2
SN  - 978-1-7281-2839-9
U6  - https://doi.org/10.1109/IV.2019.00054
SN  - 2375-0138
SN  - 1550-6037
SP  - 281
EP  - 286
PB  - Inst. of Electr. and Electronics Engineers
CY  - Los Alamitos
ER  - 
TY  - JOUR
A1  - Voland, Patrick
A1  - Asche, Hartmut
T1  - Processing and Visualizing Floating Car Data for Human-Centered Traffic and Environment Applications: A Transdisciplinary Approach
JF  - International journal of agricultural and environmental information systems : an official publication of the Information Resources Management Association
N2  - In the era of the Internet of Things and Big Data modern cars have become mobile electronic systems or computers on wheels. Car sensors record a multitude of car and traffic related data as well as environmental parameters outside the vehicle. The data recorded are spatio-temporal by nature (floating car data) and can thus be classified as geodata. Their geospatial potential is, however, not fully exploited so far. In this paper, we present an approach to collect, process and visualize floating car data for traffic-and environment-related applications. It is demonstrated that cartographic visualization, in particular, is as effective means to make the enormous stocks of machine-recorded data available to human perception, exploration and analysis.
KW  - Automotive Electronics
KW  - Big Data
KW  - Geoinformation Science
KW  - Geovisualization
KW  - Process Modelling
KW  - SpatioTemporal Sensor Data
Y1  - 2017
U6  - https://doi.org/10.4018/IJAEIS.2017040103
SN  - 1947-3192
SN  - 1947-3206
VL  - 8
SP  - 32
EP  - 49
PB  - IGI Global
CY  - Hershey
ER  -