Intelligent vehicle path planning algorithm based on the fusion of improved RRT and dynamic window method

Key Points

• The aim is to develop a novel path planning algorithm for intelligent vehicles by integrating improved RRT with the dynamic window method.
• The algorithm combines concepts from Rapidly-exploring Random Tree (RRT) with dynamic window approaches.
• Simulation tests were conducted to evaluate the effectiveness of the proposed method.
• Scenarios included various obstacle configurations to challenge navigation capabilities.
• The proposed algorithm successfully reduced path length by 15%, improving efficiency in navigation.
• Obstacle avoidance was enhanced, resulting in a 20% decrease in collision rates compared to traditional methods.
• Real-time processing speed improved by 30%, allowing better responsiveness during dynamic scenarios.