What question did this study set out to answer?

The research aims to develop an effective path planning algorithm to enhance the performance of unmanned ground vehicles in unstructured off-road environments.

February 11, 2026Journal of the Korea Institute of Military Science and TechnologyOpen Access

Path Planning Algorithm for Unmanned Ground Vehicles in Unstructured Off-Road Environments

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Authors

HNHyunjun NaKorea Advanced Institute of Science and Technology HJHwanchol Jang HSHyunsik Son

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Implication

Proposed a novel path planning algorithm to enhance off-road drivability for unmanned ground vehicles, indicating significant improvements in trajectory generation.

Key Points

The research aims to develop an effective path planning algorithm to enhance the performance of unmanned ground vehicles in unstructured off-road environments.
Proposed the two-step MPC-PSO algorithm combining Model Predictive Control and Particle Swarm Optimization.
Developed a cost function to improve adaptability to off-road conditions.
Conducted experiments at two off-road test sites to validate the approach.
Generated paths with low maximum curvature, facilitating smoother navigation.
Demonstrated sufficient path length for continuous driving in unstructured terrains.

Cite This Study

Na et al. (2026) studied this question.

synapsesocial.com/papers/698c1bcd267fb587c655dbdc https://doi.org/10.9766/kimst.2026.29.1.034

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Implication

Proposed a novel path planning algorithm to enhance off-road drivability for unmanned ground vehicles, indicating significant improvements in trajectory generation.

Path Planning Algorithm for Unmanned Ground Vehicles in Unstructured Off-Road Environments

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Implication

Key Points

Cite This Study

Path Planning Algorithm for Unmanned Ground Vehicles in Unstructured Off-Road Environments

Discussion

Member takes

Implication

Key Points

Cite This Study

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