Tag Archives: quadcopter


DJI Phantom 2 Vision Plus


This project’s main objective was to test the quadcopter autonomus landing system by using the previously developed android applications „APASLab Aviator“ and „APASLab Base“ and suggest improvements to increase landing accuracy. Before testing, mentioned apps did undergo a landing algorithm optimization, which led us to conclusion that the landing has improved significantly. However, there is still room for more improvements e.g. computer vision,  which will hopefully come in the near future.

Project documentation available here.

Project participants:

Nenad Vrkić

Kristian Suljć


Project summary: 3D Modelling with DJI Phantom 2 Vision+ quadcopter

Main goal of the project was to create a 3D model of Trsat Castle using quadcopter and available applications.

This was achieved using DJI’s Phantom 2 Vision+ quadcopter with Pix4D Mapper Pro application (for PC). Gathered dataset of images (around 400) was collected by manual flight over Trsat Castle using DJI Vision mobile application. Furthermore, mobile application Pix4D Capture helped us to achieve autonomous flight and gather extra geotagged images needed for construction of 3D model.


Project participants:
Domagoj Poljančić
Bojan Filipović