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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gim Hee Lee Fraundorfer, F. Pollefeys, M. |
| Copyright Year | 2013 |
| Abstract | In this paper, we propose a method to compute the pose-graph loop-closure constraints using multiple non/minimal overlapping field-of-views cameras mounted rigidly on a self-driving car without the need to reconstruct any 3D scene points. In particular, we show that the relative pose with metric scale between two loop-closing pose-graph vertices can be directly obtained from the epipolar geometry of the multicameras system. As a result, we avoid the additional time complexities and uncertainties from the reconstruction of 3D scene points which are needed by standard monocular and stereo approaches. In addition, there is a greater flexibility in choosing a configuration for the multi-camera system to cover a wider field-of-view so as to avoid missing out any loop-closure opportunities. We show that by expressing the point correspondences between two frames as Plücker lines and enforcing the planar motion constraint on the car, we are able to use multiple cameras as one and formulate the relative pose problem for loop-closure as a minimal problem which requires 3-point correspondences that yields up to six real solutions. The RANSAC algorithm is used to determine the correct solution and for robust estimation. We verify our method with results from multiple large-scale real-world data. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 564 |
| Ending Page | 571 |
| File Size | 1542759 |
| Page Count | 8 |
| File Format | |
| ISSN | 21530858 |
| DOI | 10.1109/IROS.2013.6696407 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Equations Robustness Measurement Geometry Three-dimensional displays Estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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