A new CNN architecture for LiDAR semantic labeling achieves higher cross-sensor portability with a reported 10 percentage point IoU gain over a reference method.
Vehicle Detection and Localiza- tion using 3D LIDAR Point Cloud and Image Semantic Segmentation,
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Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling
A new CNN architecture for LiDAR semantic labeling achieves higher cross-sensor portability with a reported 10 percentage point IoU gain over a reference method.