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As example, you can download 5 datasets from the Service Robotics Laboratory repository (https://robotics.upo.es/datasets/dll/). The example launch files are prepared and configured to work with these bags. You can see the different parameters of the method. Notice that, except for mbzirc.bag, these bags do not include odometry estimation. For this reason, as an easy work around, the lauch files publish a fake odometry that is the identity matrix. DLL is faster and more accurate when a good odometry is available.
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## Cite
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DLL has been submitted to IROS 2021, it is currently under review.
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DLL has been accepted for publication in IROS 2021.
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F. Caballero and L. Merino. "DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots". Sumbitted to the International Conference on Intelligent Robots and Systems, IROS 2021.
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You can download the paper from [arXiv](https://arxiv.org/abs/2103.06112)
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You can download preliminar version of the the paper from [arXiv](https://arxiv.org/abs/2103.06112)
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