A Design of Three-Dimensional Spatial Path Planning Algorithm Based on Vector Field Histogram*

In this paper, we present a novel three-dimensional spatial path planning algorithm based on the Vector Field Histogram* (VFH*) approach, specifically tailored for underwater robotics applications. Our method leverages the strengths of VFH* in obstacle avoidance while enhancing its capability to handle complex three-dimensional environments. Through extensive simulations, we demonstrate the superior performance of our algorithm compared to traditional methods, such as RS-RRT algorithm. Our results show significant improvements in terms of computational efficiency and path optimality, making it a viable solution for real-time path planning in dynamic underwater environments.

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Publication Details

Journal
Sensors
Published
2024-08-30
DOI
https://doi.org/10.3390/s24175647
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50
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article

A Design of Three-Dimensional Spatial Path Planning Algorithm Based on Vector Field Histogram*

Yiran Shan, Qiaoling Du, Zhida Sha, Chenning Zong et al.
2 citations
Sensors
Robotic Path Planning Algorithms
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article

A Design of Three-Dimensional Spatial Path Planning Algorithm Based on Vector Field Histogram*

Yiran Shan, Qiaoling Du, Zhida Sha, Chenning Zong, Jianxv Chen, Yanpei Wu
article en
2 citations

Abstract

In this paper, we present a novel three-dimensional spatial path planning algorithm based on the Vector Field Histogram* (VFH*) approach, specifically tailored for underwater robotics applications. Our method leverages the strengths of VFH* in obstacle avoidance while enhancing its capability to handle complex three-dimensional environments. Through extensive simulations, we demonstrate the superior performance of our algorithm compared to traditional methods, such as RS-RRT algorithm. Our results show significant improvements in terms of computational efficiency and path optimality, making it a viable solution for real-time path planning in dynamic underwater environments.

SensorsVol. 24(17)
Jilin University (CN)
Openalex Percentile: Top 36%
Robotic Path Planning Algorithms
0.50
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