Wangxu1996's Projects
This is a simple example for you to understand how the adaboost works
Papers for 3D Detection
Official Python Implementation for "Advancing 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020
This is the source code of the feasibility study for Autoware architecture proposal.
Code for 3D object detection for autonomous driving
A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC
A deep learning method for pointcloud object detection.
An anchor free method for pointcloud object detecion.
CMake Practice book learning. 学习CMake Practice这本书,创建了一些书中的例子
数据结构与算法编程练习
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Only for learning
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.
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"
🙈🙉🙊 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 !🚀🚀
An simple implementation of the IMM-UKF methods for object tracking state filter.
A tracker based on joint probabilistic data association filtering.
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
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.
Collect paper about ground segmentation in 3D point cloud.
Take bird-eye-view Jpg file from pcd file.
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
This is a lidar segmentation method based on range image.
ROS package to find a rigid-body transformation between a LiDAR and a camera
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A fast object tracking method by using JPDA-IMM-UKF.
Minimal PyTorch implementation of YOLOv3
SDK developed to access data from RADIATE dataset
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."