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).
Error state Kalman filter for attitude estimation with IMU and Magnetometer data
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:
The 3rd International Unmanned Aerial Vehicle Grand Prix with the task of autonomous cargo transportation with UAV in a GPS-Denied environment.