Pinned Repositories
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
LiuHahahaha's Repositories
LiuHahahaha/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
LiuHahahaha/loam-ndt-ndt-p2picp-p2lineicp-p2planeicp-imu-eskf-
slam lib
LiuHahahaha/CPlusPlusThings
C++那些事
LiuHahahaha/pcl-learning
🔥PCL（Point Cloud Library）点云库学习记录
LiuHahahaha/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
LiuHahahaha/slambook2
edition 2 of the slambook
LiuHahahaha/LiDAR-Evaluation
A new LiDAR Simulation Library! Code of "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" (ICRA 2023)
LiuHahahaha/CenterPoint
LiuHahahaha/lidar_SLAM_learning_SLXY
深蓝学院激光SLAM理论与实践 Implementation of Basic Lidar SLAM Algorithms
LiuHahahaha/LiDAR_fog_sim
LiDAR fog simulation
LiuHahahaha/ModelNet-C
[ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377
LiuHahahaha/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。
LiuHahahaha/CSANet
LiuHahahaha/slambook
LiuHahahaha/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
LiuHahahaha/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.
LiuHahahaha/etw_pytorch_utils