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The aim is to develop a more efficient path planning algorithm for environments with multiple obstacles.

ASD-RRT: An enhanced path planning algorithm based on RRT for multi-obstacle environments

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The aim is to develop a more efficient path planning algorithm for environments with multiple obstacles.
Proposed Adaptive Sampling and Densification RRT* (ASD-RRT*) algorithm.
Incorporates adaptive sampling techniques to focus on key areas.
Extends conventional RRT* sampling methods to address multi-obstacle scenarios.
ASD-RRT* significantly improves path planning efficiency in complex environments.
Reduces the number of irrelevant samples while maintaining path optimality.
Finds feasible solutions more effectively compared to traditional RRT methods.

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This algorithm demonstrates improved path planning in complex environments, suggesting enhanced efficiency for autonomous vehicles.

Wang et al. (2026) studied this question.

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