{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"all_ws","owner":"AutoLidarPerception","isFork":false,"description":"The whole project for all our LiDAR perception","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":0,"issueCount":1,"starsCount":19,"forksCount":10,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-08T13:29:29.803Z"}},{"type":"Public","name":"segmenters_lib","owner":"AutoLidarPerception","isFork":false,"description":"The LiDAR segmenters library, for segmentation-based detection.","allTopics":["detection","ros","lidar-segmenters-library","ground-segmenters"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":1,"issueCount":5,"starsCount":407,"forksCount":142,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-08T13:10:09.069Z"}},{"type":"Public","name":"ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster","owner":"AutoLidarPerception","isFork":true,"description":"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","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":25,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-12T00:27:25.553Z"}},{"type":"Public","name":"MV3D","owner":"AutoLidarPerception","isFork":true,"description":"Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)","allTopics":["detection","point-cloud"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":2,"starsCount":9,"forksCount":54,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-06-14T00:28:40.069Z"}},{"type":"Public","name":"kitti_lidar_camera","owner":"AutoLidarPerception","isFork":false,"description":"KiTTI LiDAR-Camera Fusion, implemented using kitti_ros.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":39,"forksCount":15,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-04-26T12:06:20.231Z"}},{"type":"Public","name":"kitti_ros","owner":"AutoLidarPerception","isFork":false,"description":"A ROS-based player to replay KiTTI dataset. http://www.cvlibs.net/datasets/kitti/","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":9,"starsCount":30,"forksCount":7,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-02-14T14:29:57.364Z"}},{"type":"Public","name":"tracking_lib","owner":"AutoLidarPerception","isFork":false,"description":"Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":3,"starsCount":70,"forksCount":29,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-01-17T05:19:29.224Z"}},{"type":"Public","name":"SqueezeSegV3","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":51,"license":"BSD 2-Clause \"Simplified\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-11-18T14:37:48.551Z"}},{"type":"Public","name":"SqueezeSegV2","owner":"AutoLidarPerception","isFork":true,"description":"Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":69,"license":"BSD 2-Clause \"Simplified\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-11-13T17:31:04.966Z"}},{"type":"Public","name":"PolarSeg","owner":"AutoLidarPerception","isFork":true,"description":"Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":80,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-05-26T03:11:17.602Z"}},{"type":"Public","name":"3DLineDetection","owner":"AutoLidarPerception","isFork":true,"description":"A simple and efficient 3D line detection algorithm for large scale unorganized point cloud","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":167,"license":"BSD 2-Clause \"Simplified\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-02-07T03:27:48.461Z"}},{"type":"Public","name":"common_lib","owner":"AutoLidarPerception","isFork":false,"description":"The common library for other Lidar Perception packages.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":29,"forksCount":31,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-06T15:49:48.686Z"}},{"type":"Public","name":"feature_extractors_lib","owner":"AutoLidarPerception","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-04T09:51:39.612Z"}},{"type":"Public","name":"avod","owner":"AutoLidarPerception","isFork":true,"description":"Code for 3D object detection for autonomous driving","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":0,"forksCount":349,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-07-22T19:11:45.257Z"}},{"type":"Public","name":"point-cloud-annotation-tool","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":121,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-30T06:48:09.169Z"}},{"type":"Public","name":"latte","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":157,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-23T23:43:06.483Z"}},{"type":"Public","name":"roi_filters_lib","owner":"AutoLidarPerception","isFork":false,"description":"The Point Cloud roi process library.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":1,"starsCount":4,"forksCount":14,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-02-05T12:36:49.399Z"}},{"type":"Public","name":"object_builders_lib","owner":"AutoLidarPerception","isFork":false,"description":"Object Orientation Corrected Bounding Box Fit for Point Cloud Clusters.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":2,"starsCount":77,"forksCount":46,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-02-04T18:08:39.710Z"}},{"type":"Public","name":"classifiers_lib","owner":"AutoLidarPerception","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":2,"starsCount":3,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-12-22T11:22:36.315Z"}},{"type":"Public","name":"SARosPerceptionKitti","owner":"AutoLidarPerception","isFork":true,"description":"ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":81,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-12-01T03:03:18.151Z"}},{"type":"Public","name":"SqueezeSeg","owner":"AutoLidarPerception","isFork":true,"description":"Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368","allTopics":["point-cloud","segmentation","segmentation-based-detection"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":23,"forksCount":239,"license":"BSD 2-Clause \"Simplified\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-11-12T12:06:33.990Z"}},{"type":"Public","name":"semantic-segmentation-editor","owner":"AutoLidarPerception","isFork":true,"description":"Web-based labeling tool for camera and LIDAR data","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":438,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-11-11T00:51:59.426Z"}},{"type":"Public","name":"vkitti3D-dataset","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":26,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-10-19T15:09:53.214Z"}},{"type":"Public","name":"rviz_car_model","owner":"AutoLidarPerception","isFork":false,"description":"Robosense rviz RobotModel for Car, embedded in kitti_ros. https://github.com/LidarPerception/kitti_ros","allTopics":[],"primaryLanguage":{"name":"CMake","color":"#DA3434"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":7,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-06-19T02:40:19.339Z"}},{"type":"Public","name":"kitti2bag","owner":"AutoLidarPerception","isFork":true,"description":"Convert KITTI dataset (Velodyne+GPS/IMU+Camera) to ROS bag file the easy way!","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":260,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-05-24T01:33:23.258Z"}},{"type":"Public","name":"precision-tracking","owner":"AutoLidarPerception","isFork":true,"description":"Combining 3D Shape, Color, and Motion for Robust Velocity Estimation","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":1,"starsCount":1,"forksCount":77,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-05-21T14:28:13.916Z"}},{"type":"Public","name":"QtKittiVisualizer","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":2,"starsCount":0,"forksCount":62,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-05-17T04:09:10.686Z"}},{"type":"Public","name":"linefit_ground_segmentation","owner":"AutoLidarPerception","isFork":true,"description":"Ground Segmentation","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":146,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-05-08T18:14:32.300Z"}},{"type":"Public","name":"VoxelNet","owner":"AutoLidarPerception","isFork":true,"description":"This is an unofficial inplementation of VoxelNet in TensorFlow.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":241,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-04-16T18:02:28.808Z"}},{"type":"Public","name":"3d_labeling_tools","owner":"AutoLidarPerception","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":42,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-04-09T09:48:51.664Z"}}],"repositoryCount":34,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"AutoLidarPerception repositories"}