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Real-time monocular dense mapping on aerial robots using visual-inertial fusion
Real-time monocular dense mapping on aerial robots using visual-inertial fusion -
Dynamic Attitude Estimation Improvement for Low-cost MEMS IMU by Integrating ...
This paper proposes a low-cost six Degree-of-Freedom (6-DOF) navigation system for small aerial robots based on the integration of Global Position System (GPS) receiver with... -
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
The proposed method uses raw depth images obtained from a front-facing camera and directly generates local motion plans in the form of smooth motion primitives that move a...
