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3D Object Visibility Prediction in Autonomous Driving
With the rapid advancement of hardware and software technologies, research in autonomous driving has seen significant growth.
Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception
The pioneer work PointNet has been widely applied as a local feature descriptor, a fundamental component in deep learning models for 3D perception, to extract features of a point cloud.
LEST: Large-scale LiDAR Semantic Segmentation with Transformer
Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception.
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
The pipeline of most pointwise point cloud semantic segmentation methods includes points sampling, neighbor searching, feature aggregation, and classification.
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