CauTraj: A Causal-Knowledge-Guided Framework for Lane-Changing Trajectory Planning of Autonomous Vehicles
Published:Dec 21, 2025 11:44
•1 min read
•ArXiv
Analysis
The article introduces CauTraj, a framework for autonomous vehicle lane-changing trajectory planning. The use of causal knowledge suggests an attempt to improve decision-making by understanding the relationships between actions and their consequences. The focus on trajectory planning indicates a practical application of AI in the automotive industry.
Key Takeaways
- •CauTraj is a framework for lane-changing trajectory planning.
- •It utilizes causal knowledge to improve decision-making.
- •The application is in the field of autonomous vehicles.
Reference
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