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Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles

This paper proposes a unique Graph SLAM framework to generate precise 2.5D LIDAR maps in an XYZ plane. A node strategy was invented to divide the road into a set of nodes. The LIDAR point clouds are smoothly accumulated in intensity and elevation images in each node. The optimization process is deco...

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Bibliografische gegevens
Hoofdauteurs: Mohammad Aldibaja, Naoki Suganuma
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2021-12-01
Reeks:Remote Sensing
Onderwerpen:
Online toegang:https://www.mdpi.com/2072-4292/13/24/5066
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