LetusRoll's repositories
IMM-UKF-JPDA-tracking
MOT based on LIDAR using imm-ukf-jpda algorithm
apollo_perception_ros
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
Cascaded-Lidar-Ground-Segmentation
A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
evaluate_TUM
Evaluate TUM format pose files on KITTI Dataset, and pose interpolation is added.
Multi_Sensor_Fusion
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
apollo
An open autonomous driving platform
AutowareArchitectureProposal.iv
AutowareArchitectureProposal is meta repository of this repository.
awesome-autonomous-vehicle
无人驾驶的资源列表中文版
codeparkshare
Python初学者（零基础学习Python、Python入门）书籍、视频、资料、社区推荐
CPlusPlusThings
C++那些事
Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
Cpp-Primer-Plus
C++ Primer Plus 6th Answers
EigenChineseDocument
This is my translation of Chinese document of Eigen
gtsam_vio
Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.
interactive_slam
Interactive Map Correction for 3D Graph SLAM
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
lidar_perception
A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.
Linux-cmd
常用的60个Linux常用命令
Python
All Algorithms implemented in Python
Python-Core-50-Courses
Python语言基础50课
python-small-examples
告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 Python中文网 http://www.zglg.work
PythonRobotis
利用python强大的可视化，加深对一些机器人运动规划算法的理解
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
Robot-Planning-and-Control
机器人运动规划和控制相关论文，每周更新