Pinned Repositories
3D-LIDAR-Multi-Object-Tracking
3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
A-LOAM
Advanced implementation of LOAM
A-LOAM-NOTED
Chinese annotated version of A-LOAM
ACSC
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
adaptive_clustering
Lightweight and Accurate Point Cloud Clustering
alignment_kang
implementation of alignment algorithm of Kang's paper Automatic targetless camera–LIDAR calibration by aligning edge with Gaussian mixture model DOI: 10.1002/rob.21893
apollo
An open autonomous driving platform
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
deep-learning-from-scratch
Source code from the book 【深度学习入门-基于Python的理论与实现】
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
callmebylxh's Repositories
callmebylxh/3D-LIDAR-Multi-Object-Tracking
3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
callmebylxh/ACSC
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
callmebylxh/adaptive_clustering
Lightweight and Accurate Point Cloud Clustering
callmebylxh/Awesome-Autonomous-Driving
callmebylxh/BALM
callmebylxh/CurbDetector
Curb detector for HDL-64E.
callmebylxh/DataStucture
严蔚敏版数据结构的具体实现
callmebylxh/DeepCalib
DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras
callmebylxh/hdl_graph_slam
3D LIDAR-based Graph SLAM
callmebylxh/iscloam
Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
callmebylxh/Lee-SLAM-source
SLAM 开发学习资源与经验分享
callmebylxh/LIDAR-Segmentation-Based-on-Range-Image
This is a lidar segmentation method based on range image.
callmebylxh/lidar_camera_calibration
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
callmebylxh/lidar_IMU_calib
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
callmebylxh/lidar_super_resolution
Simulation-based Lidar Super-resolution for Ground Vehicles
callmebylxh/LidarRoadBoundaryDetection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
callmebylxh/livox_camera_calib
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
callmebylxh/LOL
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
callmebylxh/motion_based_calibration
Extrinsic calibration based on per-sensor ego-motion
callmebylxh/multiple-object-tracking-lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
callmebylxh/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
callmebylxh/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
callmebylxh/PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
callmebylxh/RGGNet
Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning and Generative Model", IEEE Robotics and Automation Letters 5.4 (2020): 6956-6963
callmebylxh/segmenters_lib
The LiDAR segmenters library, for segmentation-based detection.
callmebylxh/SemiGlobalMatching
SGM，立体匹配最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！
callmebylxh/SensorFusion
深蓝学院-多传感器融合定位-第二期
callmebylxh/SLAM-BOOK
这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右，书稿每章对应的代码也会被整理出来。
callmebylxh/ssl_slam
SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021
callmebylxh/velo2cam_calibration
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.