Alternatives and similar repositories for occupancy-grid-mapping

Users that are interested in occupancy-grid-mapping are comparing it to the libraries listed below

• MukhlasAdib / KITTI_Mapping
  Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset
  ☆47Updated 2 years ago
• ika-rwth-aachen / EviLOG
  TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.
  ☆50Updated last year
• BIT-MJY / occupancy_grid_mapping
  Here is the method to build a grid map and get rid of the laser distortion
  ☆18Updated 4 years ago
• sajaysurya / drivable_area_detection
  Free (drivable) space identification for self-driving cars using stereo vision.
  ☆14Updated 7 years ago
• Dtananaev / lidar_dynamic_objects_detection
  ☆37Updated 5 years ago
• lizimo061 / PyLOAM
  Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
  ☆59Updated 4 years ago
• agarwa65 / lidar_camera_calibration
  Lidar Camera Callibration in ROS
  ☆45Updated 6 years ago
• vaibhavsri9 / LIDAR-Car-Detection-and-Lane-change-detection
  Algorithm to detect adjacent lanes and detecting cars through acquired LIDAR data using Region growing Algorithm
  ☆25Updated 6 years ago
• hlwang1124 / GMRPD
  A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB
  ☆36Updated 4 years ago
• quan-dao / Probabilistic-Robotics
  Solution to programming exercises in the book Probabilistic Robotics, Intro to Autonomous Mobile Robot on Edx.org, and Robot Mapping taug…
  ☆19Updated 5 years ago
• Owen-Liuyuxuan / visualDet3D_ros
  A naive ROS interface for visualDet3D.
  ☆28Updated 2 years ago
• Livox-SDK / livox_lane_detection
  ☆67Updated 4 years ago
• AutoLidarPerception / tracking_lib
  Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib
  ☆71Updated 5 years ago
• fengziyue / RRT-Parking
  Official implementation for paper "Model-based Decision Making with Imagination for Autonomous Parking"
  ☆25Updated 3 years ago
• UMich-BipedLab / SegmentationMapping
  ☆57Updated 4 years ago
• beltransen / lidar_bev
  A ROS package for LiDAR's Bird's Eye View projection.
  ☆97Updated 3 years ago
• LCAS / online_learning
  Online learning for human classification in 3D LiDAR-based tracking
  ☆30Updated 5 years ago
• StanfordVL / JRMOT_ROS
  Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
  ☆158Updated 2 years ago
• mithi / point-cloud-clusters
  A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
  ☆66Updated 5 years ago
• ayushais / DBLiDARNet
  ☆28Updated 5 years ago
• TixiaoShan / jackal_velodyne
  Simulate Jackal with Velodyne VLP-16 or HDL-32E in Gazebo
  ☆62Updated 5 years ago
• sair-lab / interestingness
  Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (TRO 2021 and ECCV 2020 Oral)
  ☆42Updated last year
• lgsvl / second-ros
  Training Deep Neural Networks with Synthetic Data using SVL Simulator
  ☆48Updated 5 years ago
• gyubeomim / lidar_closest_distance_detector
  Calculate the closest distance to the nearest obstacle using the convex polygons of pointcloud
  ☆38Updated 6 years ago
• ganlumomo / BKISemanticMapping
  Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping
  ☆136Updated last year
• kcg2015 / lidar_ground_plane_and_obstacles_detections
  Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
  ☆45Updated 5 years ago
• azurity / lidar-hist
  An implementation of "Lidar-histogram for fast road and obstacle detection"
  ☆19Updated 5 years ago
• adioshun / gitPaper_Object_Tracking
  ☆14Updated 6 years ago
• hku-mars / lidar_car_platfrom
  ☆53Updated 5 years ago
• HusseinLezzaik / Segmentation-of-3D-Point-Cloud
  Fast Segmentation of 3D Point Clouds A Paradigm on LiDAR Data for Autonomous Vehicle Applications
  ☆40Updated 4 years ago