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/apollo
An open autonomous driving platform
callmebylxh/AVP-SLAM-PLUS
An implementation of AVP-SLAM and some new contributions
callmebylxh/Awesome-3D-Object-Detection
Papers, code and datasets about deep learning for 3D Object Detection.
callmebylxh/awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
callmebylxh/caffe
Caffe: a fast open framework for deep learning.
callmebylxh/calibration_kit
callmebylxh/CMRNet
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
callmebylxh/Computer_Vision_Notebook
It's a notebook of Computer Vision which is instructed by Prof. Dr.-Ing. Andreas Geiger in 2021.
callmebylxh/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
callmebylxh/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
callmebylxh/CUDA-Programming
Sample codes for my CUDA programming book
callmebylxh/Deep_Learning_Notebook
It's a notebook of Deep Learning which is instructed by Prof.. Dr.-Ing. Andreas Geiger in 2021
callmebylxh/dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
callmebylxh/direct_lidar_odometry
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds
callmebylxh/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
callmebylxh/Learn-to-Calibrate
We utilize deep reinforcement learning to obtain favorable trajectories for visual-inertial system calibration.
callmebylxh/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
callmebylxh/M-LOAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
callmebylxh/manif
A small C++11 header-only library for Lie theory.
callmebylxh/mlcc
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
callmebylxh/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
callmebylxh/OpenPCDet-Noted
OpenPCDet代码分析与注释
callmebylxh/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
callmebylxh/radar_to_lidar_calib
Calculates the extrinsic calibration between a Navtech radar and a 3D (Velodyne) lidar
callmebylxh/Self-Driving_Cars_Notebook
It's a notebook of Self-Driving Cars which is instructed by Prof. Dr.-Ing. Andreas Geiger in 2021.
callmebylxh/test_git
this is a test for git
callmebylxh/uncertainty-toolbox
A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
callmebylxh/VINS-Fusion
An optimization-based multi-sensor state estimator
callmebylxh/VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator
callmebylxh/yeti_radar_odometry
Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.