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What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation.

, , , and . CoRR, (2023)

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Choosing where to go: Complete 3D exploration with stereo., and . ICRA, page 2806-2811. IEEE, (2011)High quality 3D laser ranging under general vehicle motion., and . ICRA, page 7-12. IEEE, (2008)Automatic Self-calibration of a Full Field-of-View 3D n-Laser Scanner., , and . ISER, volume 79 of Springer Tracts in Advanced Robotics, page 165-178. Springer, (2010)Assessing Map Quality Using Conditional Random Fields., and . FSR, volume 42 of Springer Tracts in Advanced Robotics, page 35-48. Springer, (2007)Can priors be trusted? Learning to anticipate roadworks., , , and . ITSC, page 927-932. IEEE, (2012)BOR ^2 2 G: Building Optimal Regularised Reconstructions with GPUs (in Cubes)., , , and . FSR, volume 113 of Springer Tracts in Advanced Robotics, page 111-124. Springer, (2015)Visual precis generation using coresets., , , and . ICRA, page 1304-1311. IEEE, (2014)What could move? Finding cars, pedestrians and bicyclists in 3D laser data., , and . ICRA, page 4038-4044. IEEE, (2012)Distraction suppression for vision-based pose estimation at city scales., , , , and . ICRA, page 3762-3769. IEEE, (2013)Choosing a time and place for calibration of lidar-camera systems., , , , , and . ICRA, page 4349-4356. IEEE, (2016)