FOG-Zip: Bitstream Compression for Octree-Encoded LiDAR Data
Ricardo Roriz, Jorge Cabral, Sandro Pinto, Tiago Gomes · IEEE Sensors Letters · 2025
Light Detection and Ranging (LiDAR) sensors play a critical role in enabling precise and reliable environmental perception for autonomous vehicles. However, handling the large amounts of data they generate presents a significant challenge. With the emergence of standards such as the G-PCC standard, octrees have been used as a key data structure for compressing 3D LiDAR data. Despite their advantages, octrees often lead to high memory utilization and computational overhead, particularly when dealing with high-resolution datasets, limiting their utilization in systems with real-time requirements. This letter presents FOG-zip, a hardwareaccelerated octree compression approach designed for embedded systems with limited resources. Experimental results demonstrate that FOG-zip achieves up to a 27.8% reduction in data size compared to the same uncompressed octree bitstream, while processing each frame within the frame rate limits of the sensor used.