1 Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi′an 710038,China;2 Unit of 95910,Jiuquan 735018,Gansu,China 在知网中查找 在百度中查找 在本站中查找
Aimed at the problem of "miss" in the traditional GPS navigation system, a new algorithm for selflocalization is presented by taking the visual navigation as a novel navigation manner without compute camera calibration and any remote sensory information, and the position can be well estimated on the property of projective geometry and relation of geometry. Firstly, the target in the plane is located with the target's position to realize the vision selflocalization. The conclusion demonstrates the effectiveness of the model. The experiments show that the method can effectively eliminate the position, and the maximal different value is 0.01 m. A novel thoughtway with simplicity, real time and high precision is provided for vision selflocalization of UAV is provided.