Pinned Repositories
3D-BoNet
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
adaptive_clustering
A lightweight and accurate point cloud clustering method
but_velodyne_lib
Open source library for Velodyne 3D LIDAR point clouds processing provided by Robo@FIT group.
chuan
navigation+cv control usv
CVRP-GA
基于C++，使用遗传算法解决物流运输中的VRP问题
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Gurobi-Python
Learning how to use gurobi with python (in chinese)
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
pcap-decoder
This is a Velodyne Lidar PCAP decoder to extract the information of each point
sklearn-DecisionTree
决策树、随机森林
djboy1021's Repositories
djboy1021/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
djboy1021/pcap-decoder
This is a Velodyne Lidar PCAP decoder to extract the information of each point
djboy1021/sklearn-DecisionTree
决策树、随机森林
djboy1021/3D-BoNet
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
djboy1021/adaptive_clustering
A lightweight and accurate point cloud clustering method
djboy1021/chuan
navigation+cv control usv
djboy1021/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
djboy1021/Gurobi-Python
Learning how to use gurobi with python (in chinese)
djboy1021/JD-GOC-VRP
VRPTW variation of JD Global Optimization Challange
djboy1021/JD-Logistics-Scheduling-GOC
This project is for JD GOC Logistics Scheduling Probelm. 针对 JD GOC 城市物流调度比赛的解题源代码+结果检测程序。
djboy1021/JData
京东GOC城市物流运输车辆智能调度
djboy1021/JDATA_GOC
京东配送竞赛
djboy1021/lidar_grid
velodyne VLP16 point cloud processing
djboy1021/Logistics-transportation-vehicle-scheduling
物流运输车辆调度
djboy1021/MachineLearningAction
Machine Learning Practice Using Python3 and Chinese
djboy1021/PANet
PANet for Instance Segmentation and Object Detection
djboy1021/pcap_to_pcd
Extract PointCloud files from Velodyne PCAP
djboy1021/PointCloud_Classification_using_optimized_PointNet_by_kdtree
Optimized the CNN framework PointNet by using kdtree
djboy1021/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
djboy1021/PointCNN.Pytorch
A PyTorch implemetation of PointCNN (CS294-131 Course Proj)
djboy1021/Python-Machine-Learning
机器学习实战(Machine Learning in Action) : kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
djboy1021/Statistical-learning-method-lihang
:full_moon_with_face: 《统计学习方法》，作者李航，本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外，每章介绍一种方法。叙述从具体问题或实例入手，由浅入深，阐明思路，给出必要的数学推导，便于读者掌握统计学习方法的实质，学会运用。我的博客地址是：
djboy1021/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
djboy1021/TFM_velodyne
Master Thesis on processing point clouds from Velodyne VLP-16 LiDAR sensors with PCL in ROS to improve localization method, based on Extended Kalman Filter.
djboy1021/velodyne
ROS support for Velodyne 3D LIDARs
djboy1021/velodyne_height_map
ROS obstacle detection for 3D point clouds using a height map algorithm.
djboy1021/velodyne_lidar
djboy1021/velodyne_monitor
djboy1021/Velodyne_ObjectDetection_ROS
This code is object detection code using velodyne. Object points are extracted from background points that is set in initialize step.
djboy1021/VeloView
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS