Adaptive Noise Identification in Vision-assisted Motion Estimation for Unmanned Aerial Vehicles

• 作 者: Fan Zhou Wei Zheng Zeng-Fu Wang
• 机 构: Department of Automation, University of Science and Technology of China, Hefei 230027, China“,”Insti
• 出 处: International Journal of Automation and Computing
• 发表日期: 2015年04期
• 关键词: Adaptive noise variance identification vision location motion estimation Kalman

Vision localization methods have been widely used in the motion estimation of unmanned aerial vehicles(UAVs).The noise of the vision location result is usually modeled as a white Gaussian noise so that this location result could be utilized as the obse