Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/91528
Título: | A survey on data compression techniques for automotive LiDAR point clouds |
Autor(es): | Roriz, Ricardo João Rei Silva, Heitor Dias, Francisco Gomes, Tiago Manuel Ribeiro |
Palavras-chave: | Survey Data compression LiDAR Perception system Autonomous driving |
Data: | 17-Mai-2024 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Sensors |
Citação: | Roriz, R.; Silva, H.; Dias, F.; Gomes, T. A Survey on Data Compression Techniques for Automotive LiDAR Point Clouds. Sensors 2024, 24, 3185. https://doi.org/10.3390/s24103185 |
Resumo(s): | In the evolving landscape of autonomous driving technology, Light Detection and Ranging (LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental perception. They can offer precise, high-resolution, real-time 3D representations around a vehicle, and the ability for long-range measurements under low-light conditions. However, these advantages come at the cost of the large volume of data generated by the sensor, leading to several challenges in transmission, processing, and storage operations, which can be currently mitigated by employing data compression techniques to the point cloud. This article presents a survey of existing methods used to compress point cloud data for automotive LiDAR sensors. It presents a comprehensive taxonomy that categorizes these approaches into four main groups, comparing and discussing them across several important metrics. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/91528 |
DOI: | 10.3390/s24103185 |
ISSN: | 1424-8220 |
Versão da editora: | https://www.mdpi.com/1424-8220/24/10/3185 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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sensors-24-03185.pdf | 4,76 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons