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Novel path curvature optimization algorithm for intelligent wheelchair to smoothly pass a narrow space

Chen, Ling and Wang, Sen and Hu, Huosheng and McDonald-Maier, Klaus and Fei, Min-Rui (2016) 'Novel path curvature optimization algorithm for intelligent wheelchair to smoothly pass a narrow space.' Zidonghua Xuebao/Acta Automatica Sinica, 42 (12). pp. 1874-1885. ISSN 0254-4156

AAS-CN-2016-01850-Hu.pdf - Accepted Version

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This paper presents a novel algorithm to address the smooth narrow pass traversing issue, which is based on optimizing the curvature of the wheelchair path. Being aware of the fact that the path smoothness is determined by the path curvature and its change rate, after calculating the position of the narrow pass relative to the base frame of the wheelchair from perception sensor data, the algorithm takes the curvature and its change rate of Bezier curve as the optimal objective, and the wheelchair heading and the condition that the Bezier curve polygon should be convex polygon as constraints, and plans a smooth and optimal path for the controlled wheelchair to follow. This process is iterated dynamically to enable the intelligent wheelchair to traverse the narrow pass smoothly. Simulation is firstly conducted to compare the performances of our method and the A*-based path planning navigation algorithm, which shows that the proposed algorithm is able to achieve more smooth path with smaller curvature when the wheelchair traverses narrow path. Furthermore, the algorithm can control the wheelchair to traverse narrow pass smoothly even without any global map and localization. Real experiment with detailed explanation of algorithm implementation is also given to verify the effectiveness of the proposed algorithm.

Item Type: Article
Uncontrolled Keywords: Intelligent wheelchair, curvature optimization, Bezier curve, pass traversing
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 19 Jun 2020 08:34
Last Modified: 14 Jan 2022 22:01

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