SwinMotionSeg: A Point Cloud Moving Object Segmentation Model Based on Swin-Transformer
Author:
Affiliation:
1. South China Normal University,School of Physics,Guangzhou,China
2. South China Normal University,School of Data Science and Engineering, Xingzhi College,Shanwei,China
3. Auto City (Shenzhen) Autonomous Driving Co., Ltd,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10355649/10355650/10355662.pdf?arnumber=10355662
Reference21 articles.
1. SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
2. Incremental segmentation of lidar point clouds with an octree-structured voxel space
3. Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation
4. Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
5. Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images
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