Uncalibrated downward-looking UAV visual compass based on clustered point features

This is a preview of subscription content, access via your institution.

References

  1. 1

    Wang K L, Ke Y J, Chen B M. Autonomous reconfigurable hybrid tail-sitter UAV U-Lion. Sci China Inf Sci, 2017, 60: 033201

    Article  Google Scholar 

  2. 2

    Peng K M, Lin F, Chen B M. Online schedule for autonomy of multiple unmanned aerial vehicles. Sci China Inf Sci, 2017, 60: 072203

    Article  Google Scholar 

  3. 3

    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

    Article  Google Scholar 

  4. 4

    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

    Article  Google Scholar 

  5. 5

    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

    Article  Google Scholar 

  6. 6

    Labrosse F. The visual compass: performance and limitations of an appearance-based method. J Field Robot, 2006, 23: 913–941

    Article  Google Scholar 

  7. 7

    Sturm J, Visser A. An appearance-based visual compass for mobile robots. Robot Auton Syst, 2009, 57: 536–545

    Article  Google Scholar 

  8. 8

    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

  9. 9

    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

  10. 10

    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

Download references

Acknowledgements

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).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Yu Zhang.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

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

Download citation