Scenario-Driven Evaluation for Trajectory Prediction in Autonomous Driving
Analysis
This ArXiv paper addresses a crucial aspect of autonomous driving: the rigorous evaluation of trajectory prediction models. The focus on scenario-driven evaluation highlights the need for realistic and comprehensive testing beyond simple metrics.
Key Takeaways
- •Emphasizes the importance of realistic scenario-based evaluation.
- •Addresses a critical component of autonomous driving safety.
- •Suggests a more robust method for assessing trajectory prediction performance.
Reference
“The paper focuses on evaluating trajectory predictors.”