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) * Unify tf frame parameters between transform and cloud nodes At this point there is no need any more for cloud node because transform node includes all features of cloud node. * Reformat code slightly to avoid roslint errors * Use boost bind instead of lambdas to add support for kinetic * Fix some search and replace errors in comments * Add fixed_frame and target_frame params back * Use more common ROS terminology instead of 'htm' * Undo renaming of publisher and subscriber * Just use tf listener when necessary * Migrate package to tf2 * Explicitly store sensor frame in a dedicated variable to make code easier to read * Reformat code slightly to avoid roslint errors * Avoid unnecessary transforms when sensor_frame == target_frame * Fix comments Co-authored-by: anre <andreas.reich@unibw.de> Co-authored-by: AndreasR30 <andreas-reich@live.de> Co-authored-by: anre <andreas.reich@unibw.de>
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velodyne_pointcloud/config/VLP16-velodyne_convert_node-params.yaml
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velodyne_pointcloud/config/VLP32C-velodyne_convert_node-params.yaml
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velodyne_pointcloud/include/velodyne_pointcloud/convert.hpp
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