Pinned Repositories
3D-CVF
3D-LIDAR-Multi-Object-Tracking
3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
3D-Point-Cloud-Analytics
Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China
3D_Lidar_Curb_Detection
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
LFD-A-Light-and-Fast-Detector
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
libcbdetect_nio
360全景标定图及单幅棋盘格图corners及boards检测程序
lidar2rosbag_KITTI
A simple way to convert KITTI LiDAR data to rosbag.
semanticKITTI-gridMap
semanticKITTI数据集转占据栅格图标注
duzhiqiang2019's Repositories
duzhiqiang2019/Automatic-Parking-Management
Detecting empty spaces in car parking using a camera at lamp-post angle. Video explanation: https://www.youtube.com/watch?v=y1M5dNkvCJc&t. Also check my new video in the same series, Easy Street Parking: https://www.youtube.com/watch?v=1aNT6S_VBNc
duzhiqiang2019/Awesome-model-compression-and-acceleration
duzhiqiang2019/cnn_pcl_seg
CNN for segmentation of ground point cloud
duzhiqiang2019/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
duzhiqiang2019/DL-Project-Template
深度学习工程模板
duzhiqiang2019/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
duzhiqiang2019/kitti_to_rosbag
Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.
duzhiqiang2019/KMeans-GMM-HMM
HMM based on KMeans and GMM
duzhiqiang2019/LiDAR_correction
Implementation of the "LiDAR point clouds correction acquired from a moving car based on CAN-bus data" paper by Merriaux et al.
duzhiqiang2019/Motion-Planner-for-Non-holonomic-Autonomous-Vehicles-in-Parking-Spaces
Scripts written as part of the Master of Science Thesis "Motion Planning for Non-holonomic Autonomous Vehicles in parking Spaces", by Ricard Cirera Rocosa, as part of his degree of Master of Science in Systems and Control at the Delft Center for Systems and Control (DCSC), faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft University of Technology (TU Delft).
duzhiqiang2019/PCL-Notes
pcl learning notes
duzhiqiang2019/Road-boundary-edge-curb-detection
duzhiqiang2019/rviz_cloud_annotation
Point cloud annotation tool based on RViz
duzhiqiang2019/sparse-segmentation
RISS 2018 - Segmentation of sparse LIDAR point clouds