Pinned Repositories
3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
3d_labeling_tools
3DN
3DN: 3D Deformation Network, CVPR 2019
depth_clustering
A library for fast and robust clustering of point clouds generated with a Velodyne sensor.
lane_center_keeping
lidar_align_tool
lidar_perception
PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
plane_fit_ground_filter-1
3D lidar recognition and segmentation of ground
Road-boundary-detection-based-on-Lidar
This algorithm is based on Velodye HDL 64E
thomas3016's Repositories
thomas3016/lidar_align_tool
thomas3016/lidar_perception
thomas3016/plane_fit_ground_filter-1
3D lidar recognition and segmentation of ground
thomas3016/PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
thomas3016/Road-boundary-detection-based-on-Lidar
This algorithm is based on Velodye HDL 64E
thomas3016/3DN
3DN: 3D Deformation Network, CVPR 2019
thomas3016/ApproxMVBB
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
thomas3016/Attentional-PointNet
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
thomas3016/autoware
Open-source software for self-driving vehicles
thomas3016/d2l-zh
《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。
thomas3016/DINK
🚕点云深度学习框架 | Point cloud Deep learning Framework🚕
thomas3016/Edge-Aware-PointNet
A novel network that integrates PointNet and CNN networks using 3D Boundaries
thomas3016/fanqiang
翻墙-科学上网
thomas3016/GroundSegmentationLiDAR16
GroundSegmentation using LiDAR16 PointCloud
thomas3016/KittiPointCloudUtils
KITTI Point Cloud Utilities
thomas3016/Lane-Detection-from-Point-Cloud
Detect lanes from the point cloud of a 80-meter highway road
thomas3016/Lane-Marking-Detection
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
thomas3016/LIDAR-Car-Detection-and-Lane-change-detection
Algorithm to detect adjacent lanes and detecting cars through acquired LIDAR data using Region growing Algorithm
thomas3016/linefit_ground_segmentation
Ground Segmentation
thomas3016/Point-Cloud-Clustering-1
thomas3016/point-cloud-clusters
A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
thomas3016/Point-Cloud-Road-Boundary-Detection
Extracting road guard rails from point cloud dataset
thomas3016/PointCloudSegmentation
A point cloud segmentation algorithm based on clustering analysis
thomas3016/PointRCNN
The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.
thomas3016/pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
thomas3016/Road-Boundary-Detection
Python script to automatically detect road boundaries from point cloud data given by HERE Technologies to be used in a class setting.
thomas3016/RoadSegmentation_IV2019
Road Segmentation framework for off-road driving (IV2019)
thomas3016/segmenters_lib
The LiDAR segmenters library, for segmentation-based detection.
thomas3016/SFND_Lidar_Obstacle_Detection
Nanodegree self driving car
thomas3016/Supervoxel-for-3D-point-clouds
A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds