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A Multi-Sensor Fusion MAV State Estimation from Long-Range Stereo, IMU, GPS and Barometric Sensors

State estimation is the most critical capability for MAV (Micro-Aerial Vehicle) localization, autonomous obstacle avoidance, robust flight control and 3D environmental mapping. There are three main challenges for MAV state estimation: (1) it can deal with aggressive 6 DOF (Degree Of Freedom) motion;...

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Song, Yu, Nuske, Stephen, Scherer, Sebastian
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5298584/
https://ncbi.nlm.nih.gov/pubmed/28025524
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17010011
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