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eess.IV2025
Been There, Scanned That: Nostalgia-Driven LiDAR Compression for Self-Driving Cars
Ali Khalid, Jaiaid Mobin, Sumanth Rao Appala +4
An autonomous vehicle can generate several terabytes of sensor data per day. A significant portion of this data consists of 3D point clouds produced by depth sensors such as LiDARs…
eess.IV2024
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
Walter Zimmer, Ramandika Pranamulia, Xingcheng Zhou +2
In the context of Intelligent Transportation Systems (ITS), efficient data compression is crucial for managing large-scale point cloud data acquired by roadside LiDAR sensors. The…