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3d_ground_segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。

centerpoint

cplusplusthings

C++那些事

csanet

etw_pytorch_utils

lidar-evaluation

A new LiDAR Simulation Library! Code of "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" (ICRA 2023)

lidar_fog_sim

LiDAR fog simulation

lidar_slam_learning_slxy

深蓝学院激光SLAM理论与实践 Implementation of Basic Lidar SLAM Algorithms

loam-ndt-ndt-p2picp-p2lineicp-p2planeicp-imu-eskf-

slam lib

modelnet-c

[ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377

pc-igos-

Point Cloud Integrated-Gradients Optimized Saliency, a visualization technique that can automatically find the minimal saliency map that covers the most important features on a shape.

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

robustness_pc_detector

This is what we learn for the first robustness benchmark of point cloud detectors against common corruption patterns. We first introduce different corruption patterns collected for this benchmark and dataset. Then we propose the evaluation metrics used in our benchmark. Finally, we introduce the subject object detection methods and robustness enha

slambook

slambook2

edition 2 of the slambook