NIAN LIU

In the project combine six different sensor modules and several algorithms for sensor fusion are developed, where I arranged the schedule of whole project as well as final report structure.

Semantically segment airborne imagery, use segmentation techniques of Chessboard, K-means and SLIC to generate labels for each segment, then train semantic segmentation by random forest, and evaluate result of train and test images.

The project: 3D Modelling of the Hülben Aerodrome Hangar and Landing Strip Survey. My task: Responsible for the project management and communication with supervisors; Edited and moderated presentations and final reports, prepared group folders and work flow, organized the supplies, finances, accommodation and equipment management.

Invented a system which aided certificate handling; This APP won the FIRST PRICE in the second Mapping Skills Competition sponsored by company NavInfo.

Bachelor Degree Thesis. Modeled the Wuhan university’s landmark sculpture with method structure from motion; Enhanced HoloLens project to recognize image and interact with model.

Systemized CMMI quality certification document; Summarized the intangible assets of company; Sorted, summarized and submitted application documents for patent award.

Team leader. Led team in National Undergraduate Scientific and Technological Innovation Project, Interviewed market and integrated UI design.

Grade: 1.4/1.0; Pattern recognition, Computer vision, Signal processing, Transport telematics, Geoinformatics, Advanced mathematics

Grade 3.6/4.0; Linear algebra, Photogrammetry, Pattern recognition, Computer vision