| Autor: |
Xiao-dong Guo, Zhou-bo Wang, Wei Zhu, Guang He, Hong-bin Deng, Cai-xia Lv, Zhen-hai Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Defence Technology, Vol 18, Iss 4, Pp 593-603 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2214-9147 |
| DOI: |
10.1016/j.dt.2021.12.010 |
| Popis: |
In the visual positioning of Unmanned Ground Vehicle (UGV), the visual odometer based on direct sparse method (DSO) has the advantages of small amount of calculation, high real-time performance and high robustness, so it is more widely used than the visual odometer based on feature point method. Ordinary vision sensors have a narrower viewing angle than panoramic vision sensors, and there are fewer road signs in a single frame of image, resulting in poor road sign tracking and positioning capabilities, and severely restricting the development of visual odometry. Based on these considerations, this paper proposes a binocular stereo panoramic vision positioning algorithm based on extended DSO, which can solve these problems well. The experimental results show that the binocular stereo panoramic vision positioning algorithm based on the extended DSO can directly obtain the panoramic depth image around the UGV, which greatly improves the accuracy and robustness of the visual positioning compared with other ordinary visual odometers. It will have widely application prospects in the UGV field in the future. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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