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This is a set of LiDAR-IMU mapping test sequences recorded with various range sensors. - Ouster OS0-32 & OS0-64 - Livox Avia - Intel Realsense L515 & D455 - Microsoft Azure Kinect - Stereolabs ZED2i The groundtruth IMU trajectories (gt.tar.gz) are estimated by a batch LiDAR-IMU optimization that aligns point cloud scans with an environmental map (map_e232b.las) recorded with a survey-grade LiDAR (FARO Focus).
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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