PLED-VINS improves event-camera SLAM in dynamic environments by fusing an entropy-recency temporal reliability score with geometric bundle-adjustment weights for point and line features.
DynPL-SVO: A robust stereo visual odometry for dynamic scenes,
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PLED-VINS: A Point-Line Event-Based Visual Inertial SLAM for Dynamic Environments
PLED-VINS improves event-camera SLAM in dynamic environments by fusing an entropy-recency temporal reliability score with geometric bundle-adjustment weights for point and line features.