ICRA-2020-point-cloud-analysis

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ICRA-2020-point-cloud-analysis

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ICRA 2020 papers focusing on point cloud analysis

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# ICRA-2020-point-cloud-analysis
ICRA 2020 papers focusing on point cloud analysis

- [Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants](http://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chebrolu2020icra.pdf)
  - [[Code](https://github.com/PRBonn/4d_plant_registration)]

- [Lidar-Monocular Visual Odometry Using Point and Line Features](https://cg.cs.tsinghua.edu.cn/people/~mtj/publications/ICRA2020-PL-LOAM.pdf)

- [PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points]()

- [SegVoxelNet: Exploring Semantic Context and Depth-Aware Features for 3D Vehicle Detection from Point Cloud]()

- [Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls
]()

- [CNN-Based Lidar Point Cloud De-Noising in Adverse Weather]()

- [PointNet++ Grasping: Learning an End-To-End Spatial Grasp Generation Algorithm from Sparse Point Clouds]()

- [Modeling of Architectural Components for Large-Scale Indoor Spaces from Point Cloud Measurement]()

- [Learning to Optimally Segment Point Clouds]()

- [Robust Method for Removing Dynamic Objects from Point Clouds]()

- [Any Motion Detector: Learning Class-Agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds
]()

- [PointTrackNet: An End-To-End Network for 3-D Object Detection and Tracking from Point Clouds
]()

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