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Chongfeng Wei

2 accepted papers

2026

Modeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecasting

ICRA 2026poster

Accurately predicting pedestrian motion is crucial for safe and reliable autonomous driving in complex urban environments. In this work, we present a 3D vehicle-conditioned pedestrian pose forecasting framework that explicitly incorporates surrounding vehicle information. To support this, we enhance…

2025

Online Adaptive Keypoint Extraction for Visual Odometry Across Different Scenes

RA-L 2025

Visual odometry needs to be robust against various environmental changes. Although Deep learning (DL) based methods can bring more robust features to visual odometry (VO) than traditional methods, the gap between training and test dataset restricts the performance of DL-based methods when encounteri

Cited by 18SourceScholar