End-to-end replay-based trajectory planning for autonomous vehicles under multi-weather scenarios

Key Points

• Effective trajectory planning results in better navigation for autonomous vehicles, enhancing safety and efficiency.
• The simulation shows that the method significantly improves pathfinding accuracy in rain, snow, and fog conditions.
• Analysis focused on replay-based approaches that utilize real-world data for planning trajectories in challenging weather.
• These findings highlight the need for autonomous systems to adapt to environmental challenges for reliable performance.