Design and Verification of Observability-Driven Autonomous Vehicle Exploration Using LiDAR SLAM

Autor: Donggyun Kim, Byungjin Lee, Sangkyung Sung
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Aerospace, Vol 11, Iss 2, p 120 (2024)
Druh dokumentu: article
ISSN: 2226-4310
DOI: 10.3390/aerospace11020120
Popis: This paper explores the research topic of enhancing the reliability of unmanned mobile exploration using LiDAR SLAM. Specifically, it proposes a technique to analyze waypoints where 3D LiDAR SLAM can be smoothly performed in potential exploration areas and points where there is a risk of divergence in navigation estimation. The goal is to improve exploration performance by presenting a method that secures these candidate regions. The analysis employs a 3D geometric observability matrix and its condition number to discriminate waypoints. Subsequently, the discriminated values are applied to path planning, resulting in the derivation of a final destination path connecting waypoints with a satisfactory SLAM position and attitude estimation performance. To validate the proposed technique, performance analysis was initially conducted using the Gazebo simulator. Additionally, experiments were performed with an autonomous unmanned vehicle in a real-world environment.
Databáze: Directory of Open Access Journals