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Yongkang Song

2 accepted papers

2024

DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving

IROS 2024

Evaluating and training autonomous driving systems require diverse and scalable corner cases. However, most existing scene generation methods lack controllability, accuracy, and versatility, resulting in unsatisfactory generation results. Inspired by DragGAN in image generation, we propose DragTraff

Cited by 6SourcecodeScholar
2024

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions

ICRA 2024poster

Accurate trajectory prediction is crucial for safe and efficient autonomous driving, but handling partial observations presents significant challenges. To address this, we propose a novel trajectory prediction framework called Partial Observations Prediction (POP) for congested urban road scenarios.…

Cited by 6SourcecodeScholar