Huang, Tengchao and Chen, Xuanwei and Hu, Huosheng and Song, Shuang and Shao, Guifang and Zhu, Qingyuan (2024) Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments. Automation in Construction, 168. p. 105864. DOI https://doi.org/10.1016/j.autcon.2024.105864
Huang, Tengchao and Chen, Xuanwei and Hu, Huosheng and Song, Shuang and Shao, Guifang and Zhu, Qingyuan (2024) Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments. Automation in Construction, 168. p. 105864. DOI https://doi.org/10.1016/j.autcon.2024.105864
Huang, Tengchao and Chen, Xuanwei and Hu, Huosheng and Song, Shuang and Shao, Guifang and Zhu, Qingyuan (2024) Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments. Automation in Construction, 168. p. 105864. DOI https://doi.org/10.1016/j.autcon.2024.105864
Abstract
In this paper, a terrain-adaptive motion planner is developed specifically for articulated construction vehicles (ACVs) to address instability issues caused by elevation changes on unstructured construction sites—challenges that traditional 2D motion planners struggle to manage effectively. The proposed planner adopts a modular framework, incorporating a terrain elevation model, an articulated vehicle kinematic model, and a posture response model. These models collaboratively capture the dynamic interactions between the vehicle and the terrain. The planner utilizes a multi-objective evaluation function to enhance the vehicle's 3D motion stability, especially in challenging terrains. By considering real-time vehicle-terrain interactions, this function estimates and optimizes the vehicle's stability. The planner's effectiveness is validated through field tests with a scaled-down ACV prototype, demonstrating significant improvements in stability and confirming its potential for practical application on unstructured terrains.
Item Type: | Article |
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Uncontrolled Keywords: | Articulated construction vehicles; Motion planning; State estimation; Stable motion trajectories; Unstructured environments |
Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 29 Nov 2024 13:23 |
Last Modified: | 29 Nov 2024 13:25 |
URI: | http://repository.essex.ac.uk/id/eprint/39606 |
Available files
Filename: J AiC-V168-2024-105864.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Embargo Date: 13 November 2025