ryontang Goto Github PK
Name: 荣永堂
Type: User
Company: Hunan university
Bio: Researcher in the field of 3D detection and tracking. *email: [email protected] *gitee: https://gitee.com/ryontang *CSDN ID: ryontang
Name: 荣永堂
Type: User
Company: Hunan university
Bio: Researcher in the field of 3D detection and tracking. *email: [email protected] *gitee: https://gitee.com/ryontang *CSDN ID: ryontang
Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China
KITTI data processing and 3D CNN for Vehicle Detection
My second project: a smart car based on ROS with 3D lidar sensors
Data Structures and Algorithms in C/C++
The whole project for all our LiDAR perception
This is the source code of the feasibility study for Autoware architecture proposal.
This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
fully applied in ROS. simply fuse the category and location information
: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、Java、Python、C++
Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
代码 -《深度学习之PyTorch物体检测实战》
Resources for the Udacity/Didi $100k competition
Implementation of my PhD thesis, see http://d-nb.info/1034865692/34
An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
收集一些相关的资料
A tracker based on joint probabilistic data association filtering.
jsk visualization ros packages
LeetCode 刷题攻略:配思维导图,100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解,以及难点视频题解。按照刷题攻略上的顺序来刷题,让你在算法学习上不再迷茫!🔥🔥给个star支持一下吧!🚀
激光雷达障碍物检测和聚类,参考论文: Efficient Online Segmentation for Sparse 3D Laser Scans ; 其中包含地面分割代码 ransac;
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
A list of references on lidar point cloud processing for autonomous driving
Detection and Tracking of Moving Objects with 2D LIDAR
Ground Segmentation
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.