Testing hierarchical spatial aggregation for three-dimensional perception under 35% point-cloud sparsity: a error-stratified estimate
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Keywords

three-dimensional perception
hierarchical spatial aggregation
point-cloud sparsity
paired simulation
reproducibility

Abstract

We evaluated hierarchical spatial aggregation for three-dimensional perception under 35% point-cloud sparsity. A deterministic paired simulation generated 48 cases and preserved a upper-severity quartile. Mean geometry recall changed from 0.520 to 0.562; the paired difference was +0.042 (95% interval +0.040 to +0.044). The result is limited to the stated simulation and is reported with a reproducible result artifact.

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References

Hou, B., & Long, Z. (2024). WaveSamba: A Wavelet Transform SSM Zero-Shot Depth Estimation Decoder. 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 738-744. https://doi.org/10.1109/dicta63115.2024.00110

Gressin, A., Mallet, C., & David, N. (2012). IMPROVING 3D LIDAR POINT CLOUD REGISTRATION USING OPTIMAL NEIGHBORHOOD KNOWLEDGE. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, I-3, 111-116. https://doi.org/10.5194/isprsannals-i-3-111-2012

Ranasinghe, P., Patra, D., Banerjee, B., & Raval, S. (2025). LiDAR Point Cloud Colourisation Using Multi-Camera Fusion and Low-Light Image Enhancement. Sensors, 25(21), 6582. https://doi.org/10.3390/s25216582

Kim, M., Stoker, J., Irwin, J., Danielson, J., & Park, S. (2022). Absolute Accuracy Assessment of Lidar Point Cloud Using Amorphous Objects. Remote Sensing, 14(19), 4767. https://doi.org/10.3390/rs14194767

Guo, Y., & Hu, H. (2024). Multi-Layer Fusion 3D Object Detection via Lidar Point Cloud and Camera Image. Applied Sciences, 14(4), 1348. https://doi.org/10.3390/app14041348

Kim, H., Yoon, W., & Kim, T. (2016). AUTOMATED MOSAICKING OF MULTIPLE 3D POINT CLOUDS GENERATED FROM A DEPTH CAMERA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B3, 269-272. https://doi.org/10.5194/isprs-archives-xli-b3-269-2016

He, G., Dong, S., Cai, Q., & Liu, Y. (2026). Calibration-free point cloud colorization for non-rigidly coupled LiDAR-camera systems. International Journal of Advanced Robotic Systems, 23(3), 17298806261455437. https://doi.org/10.1177/17298806261455437

Zhang, L., Yu, X., Adu-Gyamfi, Y., & Sun, C. (2024). Spatio-Temporal Fusion of LiDAR and Camera Data for Omnidirectional Depth Perception. Transportation Research Record: Journal of the Transportation Research Board, 2678(4), 308-322. https://doi.org/10.1177/03611981231184187

Asafa, G. F., Ren, S., Mamun, S. S., & Gobena, K. A. (2025). DepthCloud2Point: Depth Maps and Initial Point for 3D Point Cloud Reconstruction from a Single Image. Electronics, 14(6), 1119. https://doi.org/10.3390/electronics14061119

Kulawiak, M. (2024). Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings. Photogrammetric Engineering & Remote Sensing, 90(1), 55-64. https://doi.org/10.14358/pers.23-00056r2