Paper Translation - LinK3D: Linear Keypoint Representation of 3D LiDAR Point Clouds - Code World

Paper Translation - LinK3D: Linear Keypoint Representation of 3D LiDAR Point Clouds

Language 2023-10-02 20:39:06 views: null

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Origin blog.csdn.net/qq_42535748/article/details/131178416

Paper Translation - LinK3D: Linear Keypoint Representation of 3D LiDAR Point Clouds

SLAM paper translation (4) - LinK3D: Linear Keypoints Representation for 3DLiDAR Point Cloud

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

Paper reading: SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous D

Real-time 3D target detection on lidar point clouds, Ilmenau University of Technology did it

Paper reading | PointNet, a neural network that can directly process disordered 3D point clouds

[Read the paper] PointConv: Deep Convolutional Networks on 3D Point Clouds

Classify 3D point clouds with PointNet

Point Cloud 3D Weather Data Enhancement- Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in ... (ICCV 2021)

[] Multisensor fusion distinctions of Xuecheng multisensor fusion study notes (three) - The LIDAR 3D point clouds mapped to the camera image (on)

Paper translation - BoW3D: A real-time bag-of-words model for 3D lidar SLAM loop detection

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Deep Learning for 3D Point Clouds: A Survey

3D point cloud data set production record [LiDAR]

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[Differentiable alignment of images and LiDAR point clouds]

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[Generating floor plans from 3D point clouds: a space partitioning method]

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An overview of the article | A review of 3D target detection algorithms based on point clouds and multimodality! (Point/Voxel/Point-Voxel)

3D model representation

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (Chinese translation - machine translation)

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