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Wang K L, Ke Y J, Chen B M. Autonomous reconfigurable hybrid tail-sitter UAV U-Lion. Sci China Inf Sci, 2017, 60: 033201
Peng K M, Lin F, Chen B M. Online schedule for autonomy of multiple unmanned aerial vehicles. Sci China Inf Sci, 2017, 60: 072203
Li P, Yu X, Peng X Y, et al. Fault-tolerant cooperative control for multiple UAVs based on sliding mode techniques. Sci China Inf Sci, 2017, 60: 070204
Mariottini G L, Scheggi S, Morbidi F, et al. An accurate and robust visual-compass algorithm for robot-mounted omnidirectional cameras. Robot Auton Syst, 2012, 60: 1179–1190
Bermudez-Cameo J, Puig L, Guerrero J J. Hypercata-dioptric line images for 3D orientation and image rectification. Robot Auton Syst, 2012, 60: 755–768
Labrosse F. The visual compass: performance and limitations of an appearance-based method. J Field Robot, 2006, 23: 913–941
Sturm J, Visser A. An appearance-based visual compass for mobile robots. Robot Auton Syst, 2009, 57: 536–545
Montiel J M M, Davison A J. A visual compass based on SLAM. In: Proceedings of IEEE International Conference on Robotics and Automation, 2006. 1917–1922
Sabnis A, Vachhani L. A multiple camera based visual compass for a mobile robot in dynamic environment. In: Proceedings of IEEE International Conference on Control Applications, 2013. 611–616
Ester M. A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, 1996. 226–231
This work was supported by National Natural Science Foundation of China (Grant Nos. 61673341, 61573091, 61622308, 61873206), National Key R&D Program of China (Grant No. 2016YFD0200701-3), and Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China (Grant No. ICT1800421).
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Liu, Y., Zhang, Y., Li, P. et al. Uncalibrated downward-looking UAV visual compass based on clustered point features. Sci. China Inf. Sci. 62, 199202 (2019). https://doi.org/10.1007/s11432-018-9748-1