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3d-point-cloud-analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

4wd_smart_car

My second project: a smart car based on ROS with 3D lidar sensors

algorithms

Data Structures and Algorithms in C/C++

all_ws

The whole project for all our LiDAR perception

autowarearchitectureproposal

This is the source code of the feasibility study for Autoware architecture proposal.

basicgnntracking

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.

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

camera-lidar-fusion-ros

fully applied in ROS. simply fuse the category and location information

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、Java、Python、C++

datmo

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

didi-competition

Resources for the Udacity/Didi $100k competition

first

franksvelodynealgos

Implementation of my PhD thesis, see http://d-nb.info/1034865692/34

fusion-ukf

An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

gitskills

gitsource_rcv

收集一些相关的资料

jpdaf_tracking

A tracker based on joint probabilistic data association filtering.

jsk_visualization

jsk visualization ros packages

kitti_object_tracking_python

learngit

leetcode-master

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！🚀

lidar-object-clustering-and-ground-remove

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;

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

lidar_for_ad_references

A list of references on lidar point cloud processing for autonomous driving

lidar_perception

lidar_tracking

Detection and Tracking of Moving Objects with 2D LIDAR

linefit_ground_segmentation

Ground Segmentation