Kavisha Kumar

I am a PhD candidate in the 3D geoinformation group at the Delft University of Technology, the Netherlands. I am involved in the 3D4EM project. I did my M.Tech. in Geoinformatics from India. I worked on the interoperability issues in the integration of 3D data models mainly COLLADA and CityGML . I officially do not have a surname. In my publications, I go by the name "Kavisha Kumar". Research Interests:

  • 3D City modelling (CityGML & CityJSON)
  • Programming & UML Modelling
  • Cesium 3D webglobe & 3D city databases
  • Noise, energy, and flood modelling in 3D
  • Standards & interoperability
  • BIM-GIS integration

Publications

2018
Compactly representing massive terrain models as TINs in CityGML. Kavisha Kumar, Hugo Ledoux, and Jantien Stoter. Transaction in GIS. 2018, 22:1152–1178.


CityGML Application Domain Extension (ADE): overview of developments. Filip Biljecki, Kavisha Kumar and Claus Nagel. Open Geospatial Data, Software and Standards. 2018, 3: 13.

A metadata ADE for CityGML. Anna Labetski, Kavisha Kumar, Hugo Ledoux, and Jantien Stoter. Open Geospatial Data, Software and Standards. 2018, 3: 16.

Modeling cities and landscapes in 3D with CityGML. Ken Arroyo Ohori, Filip Biljecki, Kavisha Kumar, Hugo Ledoux and Jantien Stoter. In André Borrmann, Markus König, Christian Koch and Jakob Beetz (eds.), Building Information Modeling: Technology Foundations and Industry Practice, Springer, 2018, 199–215.

2017
Modelling urban noise in CityGML ADE: case of the Netherlands. Kavisha Kumar, Hugo Ledoux, Tom Commandeur, and Jantien Stoter. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5, 2017, 73–81.

2016
Comparative analysis of data structures for storing massive TINs in a DBMS. Kavisha Kumar, Hugo Ledoux and Jantien Stoter. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2, 2016, 123–130.

A CityGML extension for handling very large TINs. Kavisha Kumar, Hugo Ledoux and Jantien Stoter. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W1, 2016, 137–143.

Storage, maintenance and dissemination of massive 3D city models. Kavisha Kumar. PhD Proposal, 3D Geoinformation, Delft University of Technology, The Netherlands.

2014
Web based geoprocessing tool for coverage data handling. Kavisha Kumar and Sameer Saran. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8, 2014, 1139–1143.

Simulating dynamics of the spread of communicable diseases using agent based modeling. Kavisha Kumar , Raunak Sarbajna, Vineet Kumar, Amol Konde, and Sameer Saran. ISRS Proceeding Papers of Sort Interactive Session. ISPRS TC VIII International Symposium on “Operational Remote Sensing Applications: Opportunities, Progress and Challenges”, Hyderabad, India, December 9 – 12, 2014.

Presentations

2018
CityGML Metadata ADE & links to Energy ADE. Kavisha Kumar. CityGML Energy ADE Workshop 2018, Aachen, Germany.

Registry for CityGML ADEs. Kavisha Kumar. 107th OGC Technical Committee Meeting June 2018, Fort Collins, Colorado, USA

2017
Modelling Noise in CityGML: Case of the Netherlands. Kavisha Kumar, Hugo Ledoux, Tom Commandeur, and Jantien Stoter. NCG Symposium 2017, Delft, the Netherlands.

Proposal for better representation of TINs in CityGML & InfraGML. Kavisha Kumar. OGC Technical and Planning Committee Meeting 2017, Delft, The Netherlands.

Integration of CityGML & InfraGML. Kavisha Kumar. OGC Technical and Planning Committee Meeting 2017, Delft, The Netherlands.

Events

The Knowledge exchange event on "Energy & the digital built environment on December 6, 2018 at the TU Delft in collaboration with Geonovum, SIG 3D and OGC.
The 10th Workshop on the CityGML Energy ADE from December 6-7, 2018 at the TU Delft in collaboration with SIG 3D and OGC.
The CityGML and Energy ADE Crash course on December 5, 2018 at the TU Delft in collaboration with SIG 3D and OGC.
The 3DViz 2016 workshop for the storage and visualization of 3D city models using Cesium and 3DcityDB in collaboration with the Technical University of Munich.