Non-Central Catadioptric Cameras Pose Estimation using 3D Lines
This addresses pose estimation for mobile robots using non-central catadioptric cameras, representing an incremental improvement in a specific domain.
The authors tackled the problem of planar pose estimation for mobile robots by developing a novel analytic solution for projecting 3D lines onto non-central catadioptric camera mirrors, which was then used to formulate an error function minimized to estimate camera pose. The method was validated with synthetic and real data from a mobile robot.
In this article we purpose a novel method for planar pose estimation of mobile robots. This method is based on an analytic solution (which we derived) for the projection of 3D straight lines, onto the mirror of Non-Central Catadioptric Cameras (NCCS). The resulting solution is rewritten as a function of the rotation and translation parameters, which is then used as an error function for a set of mirror points. Those should be the result of the projection of a set of points incident with the respective 3D lines. The camera's pose is given by minimizing the error function, with the associated constraints. The method is validated by experiments both with synthetic and real data. The latter was collected from a mobile robot equipped with a NCCS.