Weekly PhD Newsletter | SIGN UP NOW Weekly PhD Newsletter | SIGN UP NOW

Autonomous reality capture: from 3D data acquisition to digital twin creation


   School of Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

With the recent release of Hexagon Geosystem’s BLK ARC and BLK2FLY technologies, the focus of creating automated large-scale 3D geospatial digital twins evolves from that of efficient primary data acquisition entirely to endgame interpretation and creation of the Building Information Model (BIM). The devices autonomously map areas of interest in 3D point clouds with potential to create accurate digital twins. The BLK ARC is compatible with the Boston Dynamics Spot robot and comes equipped with panoramic cameras, a high-resolution camera, and a dual-axis lidar to map its surroundings. The BLK2FLY is an autonomous flying laser scanner used to explore hard-to-reach areas and map entire buildings. This PhD will investigate the application of timely and novel deep learning approaches, addressing issues of complex feature segmentation and classification of the automatically generated point cloud datasets derived from the newly released BLK tech.

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.


References

https://shop.leica-geosystems.com/leica-blk/autonomy

Email Now


Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs