ICRA 2012 Paper Abstract

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Paper TuB09.4

Dubbelman, Gijs (CMU Robotics Institute), Browning, Brett (Carnegie Mellon University), Hansen, Peter (Carnegie Mellon University in Qatar), Dias, M. Bernardine (Carnegie Mellon University)

Orientation Only Loop-Closing with Closed-Form Trajectory Bending

Scheduled for presentation during the Regular Session "Localization" (TuB09), Tuesday, May 15, 2012, 11:15−11:30, Meeting Room 9 (Sa)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on February 21, 2018

Keywords Localization, Sensor Fusion, Computer Vision for Robotics and Automation

Abstract

In earlier work closed-form trajectory bending was shown to provide an efficient and accurate out-of-core solution for loop-closing exactly sparse trajectories. Here we extend it to fuse exactly sparse trajectories, obtained from relative pose estimates, with absolute orientation data. This allows us to close-the-loop using absolute orientation data only. The benefit is that our approach does not rely on the observations from which the trajectory was estimated nor on the probabilistic links between poses in the trajectory. It therefore is highly efficient. The proposed method is compared against regular fusion and an iterative trajectory bending solution using a 5 km long urban trajectory. Proofs concerning optimality of our method are provided.

 

 

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