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Technical Program
Paper Detail
| Paper: | WA-P9.2 |
| Session: | Motion Tracking |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
STEREO TRACKING AND THREE-POINT/ONE-POINT ALGORITHMS - A ROBUST APPROACH IN VISUAL ODOMETRY |
| Authors: |
Kai Ni; Georgia Institute of Technology | | | | | Frank Dellaert; Georgia Institute of Technology | | |
| Abstract: |
In this paper, we present an approach of calculating visual odometry for outdoor robots equipped with a stereo rig. Instead of the typical feature matching or tracking, we use an improved stereo-tracking method that simultaneously decides the feature displacement in both cameras. Based on the matched features, a three-point algorithm for the resulting quadrifocal setting is carried out in a RANSAC framework to recover the unknown odometry. In addition, the change in rotation can be derived from infinity homography, and the remaining translational unknowns can be obtained even faster consequently . Both approaches are quite robust and deal well with challenging conditions such as wheel slippage. |
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