To immobilize suspicious individuals in an indoor environment by flying multiple drones aggressively around them.
Develop an autonomous launch, tracking and landing system for an Unmanned Aerial Vehicle (UAV).
This project was to calibrate the translation and rotation matrices between camera and laser coordinate systems to provide laser points with color information from the image for further applications such as segmentation.
Along with 3 other teammates from the State Key Laboratory of Robotics, I participated in the Unmanned Ground Systems Challenge in October 2016 and worked specifically on the environment map building and localization under GPS signal lost situation.
This challenge was held in a real field environment, including wild battlefield task execution, city battlefield search and investigation, and highland transportation.
Fig. 1. Our UGV platform
Environment Map Built an environment map for non-structured fields with the following steps: