3 papers
cs.CV2026
BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation
Dooseop Choi, Kyounghwan An, Kyoung-Wook Min
In this paper, we present a framework dubbed \textbf{BEV-Denoise} that estimates and removes intrinsic noise from learned Bird's-Eye-View (BEV) features to achieve accurate BEV sem…
cs.CV2026
CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation
Jeongbin Hong, Dooseop Choi, Taeg-Hyun An +2
Transforming image features from perspective view (PV) space to bird's-eye-view (BEV) space remains challenging in autonomous driving due to depth ambiguity and occlusion. Although…
cs.RO2025
LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction
Muhammad Atta ur Rahman, Dooseop Choi, KyoungWook Min
Accurate motion forecasting is critical for safe and efficient autonomous driving, enabling vehicles to predict future trajectories and make informed decisions in complex traffic s…