AUV path planning based on crested porcupine optimizer and improved fuzzy DWA with collision risk assessment

Key Points

• The improved fuzzy DWA effectively assesses collision risk, enhancing AUV navigation safety and efficiency.
• Crested porcupine optimizer contributes to optimal path planning in complex environments, reducing potential hazards.
• This approach combines advanced algorithms to improve collision avoidance during autonomous underwater vehicle operations.
• Optimization methods in this study may enable better navigational strategies, emphasizing the importance of safety in underwater exploration.