Alternatives and similar repositories for pyboreas

Users that are interested in pyboreas are comparing it to the libraries listed below

• fracgawd / kitti_motion_compensation
  ☆78Updated last year
• PRBonn / auto-mos
  Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation
  ☆103Updated 3 years ago
• PRBonn / make_it_dense
  Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments
  ☆140Updated 2 years ago
• utiasASRL / hero_radar_odometry
  Unsupervised radar odometry combining deep learning with classical state estimation
  ☆108Updated 3 years ago
• MukhlasAdib / KITTI_Mapping
  Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset
  ☆46Updated 2 years ago
• PRBonn / MapMOS
  Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
  ☆183Updated 2 months ago
• placeforyiming / Divide-and-Merge-LiDAR-Panoptic-Cluster
  A LiDAR point cloud cluster for panoptic segmentation
  ☆86Updated 4 years ago
• beltransen / lidar_bev
  A ROS package for LiDAR's Bird's Eye View projection.
  ☆97Updated 3 years ago
• junzhang2016 / NTU4DRadLM
  NTU 4D Radar-centric Multi-Modal Dataset for Localization and Mapping (NTU4DRadLM)
  ☆165Updated last year
• xieKKKi / MotionBEV
  A simple yet effective framework for LiDAR-based moving object segmentation.
  ☆90Updated 2 years ago
• PRBonn / TARL
  [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
  ☆109Updated last year
• l1997i / DurLAR
  (3DV 2021) A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving A…
  ☆51Updated 8 months ago
• cavayangtao / lidar_clustering_bench
  LiPC: LiDAR Point Cloud Clustering Benchmark Suite
  ☆103Updated last year
• aimotive / aimotive_dataset
  aiMotive public dataset
  ☆51Updated 2 years ago
• nubot-nudt / InsMOS
  [IROS 23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
  ☆152Updated 5 months ago
• ramdrop / autoplace
  Implementation for the paper: AutoPlace: Robust Place Recognition with Single-chip Automotive Radar
  ☆108Updated 3 years ago
• dcmlr / kitti360_ros_player
  ROS package to publish the KITTI-360 dataset.
  ☆69Updated last year
• PRBonn / 4DMOS
  Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
  ☆320Updated 3 months ago
• PRBonn / 3DUIS
  ☆90Updated 8 months ago
• nickcharron / lidar_snow_removal
  This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.
  ☆111Updated last year
• PRBonn / Mask4D
  Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, RA-L, 2023
  ☆65Updated last year
• unmannedlab / LiDAR-reflectivity-segmentation
  Official implementation of "Reflectivity is all you need!: Advancing LiDAR semantic segmentation"
  ☆26Updated last week
• yanconglin / ICP-Flow
  Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).
  ☆119Updated 7 months ago
• SilvesterHsu / LiDAR_ground_removal
  This is an implement of Fast Segmentation of 3D Point Clouds for Ground Vehicles
  ☆67Updated 4 years ago
• UniBwTAS / continuous_clustering
  Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors
  ☆107Updated 8 months ago
• UMich-CURLY / 3DMapping
  Learning to map in 3D
  ☆89Updated 3 years ago
• lizimo061 / PyLOAM
  Python implementation of LOAM (Lidar Odometry and Mapping) for rapid prototyping or educational purpose
  ☆58Updated 4 years ago
• BIT-MJY / SeqOT
  [TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
  ☆109Updated 2 years ago
• anastasiia-kornilova / python-LOAM
  Python implementation of LOAM algorithm by Ji Zhang and Sanjiv Singh
  ☆85Updated 2 years ago
• wangx1996 / Fast-Ground-Segmentation-Based-on-JPC
  An implementation on "Shen Z, Liang H, Lin L, Wang Z, Huang W, Yu J. Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Conv…
  ☆124Updated 4 years ago