Real-Time Landing Spot Detection and Pose Estimation on Thermal Images Using Convolutional Neural Networks

@article{Chen2018RealTimeLS,
  title={Real-Time Landing Spot Detection and Pose Estimation on Thermal Images Using Convolutional Neural Networks},
  author={Xudong Chen and Feng Lin and Mohamed Redhwan Abdul Hamid and Swee Huat Teo and Swee King Phang},
  journal={2018 IEEE 14th International Conference on Control and Automation (ICCA)},
  year={2018},
  pages={998-1003}
}
This paper presents a robust, accurate and real-time approach to detect landing spot position and orientation information using deep convolutional neural networks and image processing technique on thermal images. The proposed novel algorithm pipeline consists of two steps: ledge detection and orientation information extraction. The extracted pose information of the landing spot from thermal images could be used to facilitate autonomous operations of unmanned aerial vehicles (UAVs) in both of… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES

You Only Look Once: Unified, Real-Time Object Detection

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2015
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

YOLO9000: Better, Faster, Stronger

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Vision-aided tracking of a moving ground vehicle with a hybrid UAV

  • 2017 13th IEEE International Conference on Control & Automation (ICCA)
  • 2017
VIEW 1 EXCERPT

Patch-based keypoints consensus voting for robust visual tracking

  • IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
  • 2016
VIEW 1 EXCERPT

Structural keypoints voting for global visual tracking

  • 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)
  • 2016
VIEW 1 EXCERPT

System integration of a vision-guided UAV for autonomous landing on moving platform

  • 2016 12th IEEE International Conference on Control and Automation (ICCA)
  • 2016
VIEW 1 EXCERPT

Fast R-CNN

  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • 2015
VIEW 2 EXCERPTS

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2015
VIEW 3 EXCERPTS