Wangxu1996's repositories

Lidar-Segementation

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

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LIDAR-Segmentation-Based-on-Range-Image

This is a lidar segmentation method based on range image.

Language:C++License:Apache-2.0Stargazers:68Issues:2Issues:2

Multi-Object-Tracking

A fast object tracking method by using JPDA-IMM-UKF.

Language:C++License:Apache-2.0Stargazers:47Issues:2Issues:2

Cascaded-Lidar-Ground-Segmentation

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC

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Fast-Ground-Segmentation-Based-on-JPC

An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process. Remote Sensing. 2021; 13(16):3239. https://doi.org/10.3390/rs13163239"

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CenterPillarNet

An anchor free method for pointcloud object detecion.

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Lidar-Ground-Segmantation-Paper-List

Collect paper about ground segmentation in 3D point cloud.

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Range-Image-based-segementation

An implementation on "I. Bogoslavskyi and C. Stachniss, "Fast range image-based segmentation of sparse 3D laser scans for online operation," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016, pp. 163-169, doi: 10.1109/IROS.2016.7759050."

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Lidar-pcd-2-jpg-of-bird-eye-view-

Take bird-eye-view Jpg file from pcd file.

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IMM-UKF-for-object-tracking

An simple implementation of the IMM-UKF methods for object tracking state filter.

License:Apache-2.0Stargazers:3Issues:1Issues:0

Semantic-Kitti-Label-Read

A c++ version code to read semantic kitti label.

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hello-algorithm

🙈🙉🙊 本项目包括:1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易,右上角助力一波!干就对了,奥利给 !🚀🚀

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jpdaf_tracking

A tracker based on joint probabilistic data association filtering.

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Summary

项目总结

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3D-Detection-localization

Papers for 3D Detection

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AB3DMOT

Official Python Implementation for "Advancing 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020

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AutowareArchitectureProposal

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

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CenterBEV

A deep learning method for pointcloud object detection.

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CMake-Practice-Learning

CMake Practice book learning. 学习CMake Practice这本书,创建了一些书中的例子

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Codeing-test

数据结构与算法编程练习

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Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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CV-TEST

Only for learning

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draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

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JRMOT_ROS

Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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radiate_sdk

SDK developed to access data from RADIATE dataset

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README

README文件语法解读,即Github Flavored Markdown语法介绍

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Simple-Lidar-Dataset

A simple lidar dataset.

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