An Improved Hierarchical Path Planning Method for Land-Air Amphibious Vehicle Based on Modal Characteristics

The Land-Air Amphibious Vehicle has the advantages of high maneuverability in the air and energy saving on the ground, playing an important role in reconnaissance, disaster relief and other tasks. Successfully completing tasks requires vehicles to have autonomous navigation capabilities, among which good path planning methods are necessary. Therefore, we propose a hierarchical planning method for the Land-Air Amphibious Vehicle which fully utilizes the modal characteristics, including modifying constraint parameters for air modes and adding terrain parameters for ground modes. The results show that the improved planning method has faster speed and shorter time, better air mobility and ground traversability.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icus61736.2024.10839833
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25
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An Improved Hierarchical Path Planning Method for Land-Air Amphibious Vehicle Based on Modal Characteristics

Tao Xu, Yujie Wang, Bin Xu, Longlong Liu et al.
1 citations
Robotic Path Planning Algorithms
0.25
article

An Improved Hierarchical Path Planning Method for Land-Air Amphibious Vehicle Based on Modal Characteristics

Tao Xu, Yujie Wang, Bin Xu, Longlong Liu, Han Sun, Wei Fan
article en
1 citations

Abstract

The Land-Air Amphibious Vehicle has the advantages of high maneuverability in the air and energy saving on the ground, playing an important role in reconnaissance, disaster relief and other tasks. Successfully completing tasks requires vehicles to have autonomous navigation capabilities, among which good path planning methods are necessary. Therefore, we propose a hierarchical planning method for the Land-Air Amphibious Vehicle which fully utilizes the modal characteristics, including modifying constraint parameters for air modes and adding terrain parameters for ground modes. The results show that the improved planning method has faster speed and shorter time, better air mobility and ground traversability.

Beijing Institute of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 42%
Robotic Path Planning Algorithms
0.25
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