Year: 2025
Type: article
Abstract: As the need for efficient 3D data processing increases, particularly in autonomous driving applications, fast and resource-efficient methods for structuring and representing LiDAR data, such as range images (RIs), have become crucial. This letter presents a hardware-accelerated algorithm for generating RIs from 3D LiDAR point clouds, tailored for embedded platforms featuring Field-Programmable Gate Arrays (FPGAs). The proposed solution enables real-time point cloud processing, achieving up to a 605% performance improvement over the PCL desktop implementation, and up to 470% when deployed in FPGA, while maintaining minimal hardware resource utilization.
Source: IEEE Sensors Letters
Authors: Fábio Oliveira, Vitor Ferreira, Sandro Pinto, Tiago Gomes
Institution: University of Minho
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4411798963