djboy1021's Stars
ShuLiu1993/PANet
PANet for Instance Segmentation and Object Detection
Yang7879/3D-BoNet
🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
luhantao/CVRP-GA
基于C++,使用遗传算法解决物流运输中的VRP问题
bigbanging/JDATA_GOC
京东配送竞赛
brucefeng10/JD-GOC-VRP
VRPTW variation of JD Global Optimization Challange
fo40225/tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
shaozhenghan/PointCloud_Classification_using_ML
Point Cloud Object Classification using Machine Learning
shaozhenghan/PointCloud_Classification_using_optimized_PointNet_by_kdtree
Optimized the CNN framework PointNet by using kdtree
hxdengBerkeley/PointCNN.Pytorch
A PyTorch implemetation of PointCNN (CS294-131 Course Proj)
yangyanli/FPNN
Field Probing Neural Networks for 3D Data
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Forward-Wang/VRPTW
Vehicle Routing Problem with Time Windows (Almost done...到頭來好像還是贏不過學長orz)
Damage233/JData
京东GOC城市物流运输车辆智能调度
xiangkejun/chuan
navigation+cv control usv
ahermosin/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.
lianhuij/lidar_grid
velodyne VLP16 point cloud processing
dbworth/pcap_to_pcd
Extract PointCloud files from Velodyne PCAP
tier4/velodyne_monitor
ros-drivers/velodyne
ROS support for Velodyne 3D LIDARs
laboshinl/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
nvidia-isaac/velodyne_lidar
pcchenxi/RCV_velodyne_classification
Classification for single scan of velodyne point cloud
JinyongJeong/Velodyne_ObjectDetection_ROS
This code is object detection code using velodyne. Object points are extracted from background points that is set in initialize step.
yzrobot/adaptive_clustering
[ROS package] Lightweight and Accurate Point Cloud Clustering
robofit/but_velodyne_lib
Open source library for Velodyne 3D LIDAR point clouds processing provided by Robo@FIT group.
daobilige-su/loam_velodyne
Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner
jack-oquin/velodyne_height_map
ROS obstacle detection for 3D point clouds using a height map algorithm.
PRBonn/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
djboy1021/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Kitware/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. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.