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Advanced implementation of LOAM
Code for 3D object detection for autonomous driving
L-CAS 3D Point Cloud Annotation Tool
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Image Processing for Basic Depth Completion
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
loam code noted in Chinese(loam中文注解版)
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
SECOND for KITTI/NuScenes object detection
Photon-efficient imaging with a single-photon camera
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Surfel-based Mapping for 3d Laser Range Data (SuMa)
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