AutoLidarPerception's repositories
segmenters_lib
The LiDAR segmenters library, for segmentation-based detection.
object_builders_lib
Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.
tracking_lib
Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib
kitti_lidar_camera
KiTTI LiDAR-Camera Fusion, implemented using kitti_ros.
common_lib
The common library for other Lidar Perception packages.
SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368
rviz_car_model
Robosense rviz RobotModel for Car, embedded in kitti_ros. https://github.com/LidarPerception/kitti_ros
SARosPerceptionKitti
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
roi_filters_lib
The Point Cloud roi process library.
3DLineDetection
A simple and efficient 3D line detection algorithm for large scale unorganized point cloud
linefit_ground_segmentation
Ground Segmentation
precision-tracking
Combining 3D Shape, Color, and Motion for Robust Velocity Estimation
ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
semantic-segmentation-editor
Web-based labeling tool for camera and LIDAR data
SqueezeSegV2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud