3 papers
cs.RO2026
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Seulbin Hwang, Kiyoung Om, Daejung Kim +1
Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks predominantly reward realism, and recent methods have optimized a…
cs.CV2026
Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
Hojun Choi, Seulbin Hwang, Daejung Kim +4
Bird's-eye view (BEV) perception fuses multi-camera images into a unified top-down representation for autonomous driving. Despite recent progress, state-of-the-art methods remain c…
cs.LG2025
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation
Seungjun Yu, Kisung Kim, Daejung Kim +2
Diffusion-based models are recognized for their effectiveness in using real-world driving data to generate realistic and diverse traffic scenarios. These models employ guided sampl…