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Vol. 26 No. 11 (2014): Vol 26 Issue 11

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Study on Solution Space for Visual Positioning Algorithm from Linear Features

https://doi.org/10.14233/ajchem.2014.17528
Lijuan Qin
School of Information Science and Engineering, Shenyang Ligong University, Shenyang, P.R. China ;State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, P.R. China
Chen Yao
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, P.R. China
Ting Wang
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, P.R. China
Hong Wang
School of Information Science and Engineering, Shenyang Ligong University, Shenyang, P.R. China
Dongsheng Wu
School of Information Science and Engineering, Shenyang Ligong University, Shenyang, P.R. China

Corresponding Author(s) : Lijuan Qin

qinlijuan06@163.com

Asian Journal of Chemistry, Vol. 26 No. 11 (2014): Vol 26 Issue 11

Abstract

New solution method is presented for vision positioning method from straight lines intersecting at two spatial points. The solution method has fast calculation and can guarantee the uniqueness for solution. Application of this method is to satisfy precondition of monotony. This paper studies the geometry of space and gives sufficient proof of the monotonic the algorithm satisfies in the geometric range. In the spatial distribution of linear feature, geometric space can guarantee the convergence of the method. Thus, it can provide sufficient theoretical basis for the practical application of designed iterative method. Meanwhile, it can ensure the calculation speed and the uniqueness of solving methods. Simulation results show that iterative method can converge to right solution in the geometric space and has rapid iteration speed.

Keywords

Visual positioning Solution space Linear feature
Qin, L., Yao, C., Wang, T., Wang, H., & Wu, D. (2014). Study on Solution Space for Visual Positioning Algorithm from Linear Features. Asian Journal of Chemistry, 26(11), 3371–3376. https://doi.org/10.14233/ajchem.2014.17528
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