RRT-based Path Planning Design for Securing Navigation Performance in GNSS-challenged Urban Environments

Traditional path planning methods that consider only general cost functions such as distance and power without addressing the performance limitations of satellite navigation in urban environments such as dense building areas can lead to operational risks due to decreased navigation reliability in unmanned systems. This paper proposes a path planning technique to ensure the performance of integrated navigation systems, including GNSS, in such environments. Accordingly, this study enhances existing RRT-based algorithms by integrating DOP constraints into a new path generation method. The proposed technique was validated through simulations and field experiments. Consequently, experimental data analysis demonstrated that the proposed method achieves an RMSE error level suitable for the operation of unmanned vehicles.

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Publication Details

Journal
Journal of Institute of Control Robotics and Systems
Published
2024-09-13
DOI
https://doi.org/10.5302/j.icros.2024.24.0135
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

RRT-based Path Planning Design for Securing Navigation Performance in GNSS-challenged Urban Environments

Sangkyung Sung, Ji‐Yeon Lee
Journal of Institute of Control Robotics and Systems
Robotic Path Planning Algorithms
article

RRT-based Path Planning Design for Securing Navigation Performance in GNSS-challenged Urban Environments

Sangkyung Sung, Ji‐Yeon Lee
article en

Abstract

Traditional path planning methods that consider only general cost functions such as distance and power without addressing the performance limitations of satellite navigation in urban environments such as dense building areas can lead to operational risks due to decreased navigation reliability in unmanned systems. This paper proposes a path planning technique to ensure the performance of integrated navigation systems, including GNSS, in such environments. Accordingly, this study enhances existing RRT-based algorithms by integrating DOP constraints into a new path generation method. The proposed technique was validated through simulations and field experiments. Consequently, experimental data analysis demonstrated that the proposed method achieves an RMSE error level suitable for the operation of unmanned vehicles.

Journal of Institute of Control Robotics and SystemsVol. 30(9)
Sustainable cities and communities
Openalex Percentile: Top 85%
Robotic Path Planning Algorithms
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