D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes

arXiv:2404.11127v1 Announce Type: new
Abstract: Creating large LiDAR datasets with pixel-level labeling poses significant challenges. While numerous data augmentation methods have been developed to reduce the reliance on manual labeling, these methods predominantly focus on static scenes and they overlook the importance of data augmentation for dynamic scenes, which is critical for autonomous driving. To address this issue, we propose D-Aug, a LiDAR data augmentation method tailored for augmenting dynamic scenes. D-Aug extracts objects and inserts them into dynamic scenes, …

abstract arxiv augmentation challenges cs.cv data datasets dynamic focus importance labeling lidar pixel reduce reliance type