Alpha Demo: A Hardware-Accelerated Data Model for Ad-Hoc Manipulation of Point Clouds
Summary: Proposes Damocles: a compact, generic point-cloud data model enabling ad-hoc queries and transformations with primitive operators. Alpha uses Palicus FPGA acceleration for key operators, delivering low-latency point-cloud manipulation on edge LiDAR. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sophie Pfister (University of Freiburg)
- 2. Alberto Lerner (University of Freiburg)
- 3. Abishek Ramdas (University of Freiburg)
- 4. Philippe Cudré-Mauroux (University of Freiburg)
BibTeX Citation
@inproceedings{pfister_sigmod25,
title = {{Alpha Demo: A Hardware-Accelerated Data Model for Ad-Hoc Manipulation of Point Clouds}},
author = {Pfister, Sophie and Lerner, Alberto and Ramdas, Abishek and Cudré-Mauroux, Philippe},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725078},
url = {https://dl.acm.org/doi/10.1145/3722212.3725078},
year = {2025}
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