Vehicle localization using mono-camera and geo-referenced traffic signs

@article{Qu2015VehicleLU,
  title={Vehicle localization using mono-camera and geo-referenced traffic signs},
  author={Xiaozhi Qu and Bahman Soheilian and Nicolas Paparoditis},
  journal={2015 IEEE Intelligent Vehicles Symposium (IV)},
  year={2015},
  pages={605-610}
}
Vision based localization is a cost effective method for indoor and outdoor application. However, it has drift problem if none global optimization is used. We proposed a geo-referenced traffic sign based localization method, which integrated the constraints of 3D traffic signs with local bundle adjustment to reduce the drift. Comparing to global bundle adjustment, Local Bundle Adjustment(LBA) has low computational cost but suffers the drift problem for large scale localization because of the… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS
14 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Detection and 3D reconstruction of traffic signs from multiple view color images

  • B. Soheilian, N. Paparoditis, B. Vallet
  • ISPRS Journal of Photogrammetry and Remote…
  • 2013
2 Excerpts

Similar Papers

Loading similar papers…