Hyhyhy512

Hyhyhy512's Stars

• lzcyzm/GIREN

  Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net

  Language:Matlab1

• ananyo2012/Patch-HFSS

  Optimization of Patch Antenna using QPSO

  Language:Matlab217

• YuJie2020/MATLAB-HFSS-API

  HFSS-MATLAB-API 是通过 MATLAB 编写的一套可调用的 HFSS-MATLAB 应用程序编程接口，通过编写 MATLAB 代码来生成执行相关特定操作的 HFSS 程序所需的 VBS 脚本

  Language:MATLAB195

• Guajevilla/PointNet

  Pytorch implement of PointNet, PointNet++ and PointCNN

  Language:Python12

• Kandy990125/PointClouds_cls

  点云数据分类算法，使用Pytorch实现，PointCNN，PointNet

  Language:Python176

• yunxiaoshi/pointnet-pytorch

  PointNet in PyTorch with comprehensive experiments

  Language:Python5011

• eriche2016/pointnet2.pytorch

  Language:Python408

• garyli1019/pointnet-keras

  Keras implementation for Pointnet

  Language:Python12242

• bhagatdas/Vehicle-segmentation-in-MLS-point-cloud

  The goal is to accurately Identify the vehicle from occluded and incomplete point cloud and a comparation with PointCNN and PointNet and PointNet++ model.

  Language:Python2

• ChengchengAncc/RGB-VHDL-FFT

  This project is a music spectrum analyzer developed using VHDL language. It utilizes the Altera Cyclone IV E series EP4CE10F17C8 chip. 项目为基于VHDL语言开发出的音乐频谱仪，使用Altera Cyclone IV E系列的EP4CE10F17C8芯片。展示视频连接如下：https://www.bilibili.com/video/BV1qA41167bJ/ 请点赞 投币 转发！谢谢

  5

• zhouyong1234/pointcloud_to_laserscan

  将深度摄像头3D点云数据转化为2D激光雷达数据,并与原始2D激光雷达数据相融合

  Language:C++141

• jlqzzz/SEU-SRTP--3d-

  SEU srtp项目——基于双目相机和激光雷达实现3d物体的定位与识别

  Language:Python62

• tracykim/PnPCameraLiDAR

  手动选取3D-2D点，计算激光雷达-相机的外参矩阵

  Language:C++131

• hp-ekko/graduation-project

  利用64线激光雷达扫描得到的点云数据数据，使用matlab进行道路检测

  Language:MATLAB178

• qianmin/yolo5_and_distance

  yolov5、激光雷达融合感知

  Language:C++309

• matlab-deep-learning/Lidar-object-detection-using-complex-yolov4

  Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB

  Language:MATLAB218

• yukitsuji/3D_CNN_tensorflow

  KITTI data processing and 3D CNN for Vehicle Detection

  Language:Python284120

• yufeifeiyu/Matlab-Deep-Learning-Toolbox-CNN-Water-image-recognition

  基于matlab深度学习工具箱来设计卷积神经网络用来对图像上的水体部分进行识别，并生成水体陆地二值化图像。采用的是9层卷积神经网络用来对图像进行特征提取和分类，水体识别的准确率可以达到96%以上。

  Language:MATLAB508

• cxlisme/FPGA-proj

  FPGA project

  Language:VHDL20045

• JunaidCS032/MOTBeyondPixels

  Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)

  Language:MATLAB18740

• udaysavaria/Monocular-Visual-Odometry

  Monocular Visual Odometry on KITTI dataset. Implemented in MATLAB

  Language:Matlab176

• lujiaxuan0520/PointCNN-self-driving-cars

  本项目为2018年山东大学第四届“可视计算”暑期学校无人车小组的DIY项目，参考山东大学提出的基于点云的PointCNN点卷积神经网络，使用KITTI数据集对车辆的点云输入进行语义分割，并就划分出的车辆图像进行三维包装盒的预测，以帮助无人车定位车辆的三维位置。

  Language:Python5320

• muyizaozao/Point-cloud-registration

  点云配准入门知识

  15321

• liquorleaf/loam_maskrcnn_semantic_mapping

  LOAM and Mask R-CNN Semantic Mapping: semantic labelling for lidar point cloud with a color and a depth camera.

  Language:C++7

• IMRL/T-V-fusionCNN

  A two-view fusion CNN for very fast urban road detection based on multiple-ray Lidar

  8

• dietriro/deep_learning_localization

  A localization method for mobile robots based on CNNs and 2D LIDAR data

  Language:Python82

• EricWiener/point-cloud-de-noising

  PyTorch implementation of CNN-Based Lidar Point Cloud De-Noising in Adverse Weather

  Language:Jupyter Notebook196

• xytmhy/BoundaryAware-Fusion-CNN

  Code for our ICME 2019 paper Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network

  Language:Python156

• DengZiling/cam_lidar_calibration_adjust_parameter_tool

  在使用autoware的相机和激光雷达联合标定工具进行标定得到的外参（旋转矩阵R和平移矩阵t）并不能很好的使相机图像和激光雷达扫描结果契合，因此需要进行手动调参，本工具是一个QT编写的cmake工程，可以用来辅助调参。

  Language:Makefile41

• weitw/ImageDenoise

  基于MATLAB实现传统图像去噪算法（均值滤波、中值滤波、非局部均值滤波NLM、三维块匹配滤波BM3D）和基于深度卷积神经网络的DnCNN图像去噪算法。

  Language:MATLAB13926