[month] [year]

Durga Prasad receives Best Paper Award

November 2022

Durga Prasad Dhulipudi working in Honeywell and a part time Ph.D student of  Dr. K S Rajan was awarded the best paper award for his research work on Machine Learning for Multiclass Geospatial Objects

—Need for Accelerated Mapping of Airports at the ISRS-ISG National Symposium held at HICC Hyderabad from 15 – 17 November.

Research work as explained by the authors:

Aeronautical information is constantly changing; airspace structures and routes are revised, navigation aids change, SIDs and STARs are amended, and runway and taxiway information changes. For efficiency and safety, pilots, dispatchers, air traffic controllers, air traffic flow managers, flight management systems, and aeronautical charts must have the same information from the same information base. AIPs are therefore kept up to date by regular revision on a fixed cycle. For operationally significant changes in the information, the cycle is known as the Aeronautical Information, And Control (AIRAC) cycle is used. AIPs typically have three parts – GEN (general), ENR (en-route), and AD (aerodromes). Per ICAO Doc 9881, D.4 Maintenance of Databases, Terrain and obstacle databases must be updated to account for errors that have been uncovered as well as to change appropriate data (e.g., due to construction activities or vegetation growth) so that the applications supported using the databases have continued airworthiness. We have seen the extraction of DO-272 features from orthorectified and georeferenced satellite pictures using Earth Observation Technology for aviation GIS data. According to the literature review, this extraction procedure is entirely manual. The 26-day AIRAC cycle for aerodromes data is difficult to meet because of this manual method or lack of automation. In this context, our prior research examined the automatic identification and classification of these traits using machine learning and computer vision techniques. This study uses a machine learning (ML) data pipeline to automatically create training datasets, identify aviation-specific patterns, and generate aerodrome maps. 

 

GeoSmart India and ISRS/ISG National Symposium and Annual Conventions were organized jointly to facilitate open and solution-oriented multi-stakeholder dialogue; engage in discussions to address some of the most persistent socio-economic challenges to deliver growth; facilitate networking of geospatial community consisting of government, mapping agencies, researchers, academics and private industry and users of spatial information; and fostering progressive policy change.

 

Conference page: https://geosmartindia.net/2022/ISRS-program.html