TimeAlign uses Swin-LSTM prediction and camera-guided combination of past and observed LiDAR BEV features to partially recover 3D detection accuracy under LiDAR time lag.
Pointaugmenting: Cross-modal augmentation for 3d object detection
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Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving
TimeAlign uses Swin-LSTM prediction and camera-guided combination of past and observed LiDAR BEV features to partially recover 3D detection accuracy under LiDAR time lag.