2380675303's starred repositories

Cam4DOcc

[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

Language:PythonLicense:MITStargazers:171Issues:0Issues:0

DipG-Seg

The official implementation of DipG-Seg.

Language:C++License:GPL-3.0Stargazers:98Issues:0Issues:0
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LIMOT

A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.

Language:C++License:BSD-3-ClauseStargazers:45Issues:0Issues:0

RingFalsNormal

A novel fast approximate least squares normal estimator using the structural information of certain LiDAR, is fast and accurate compared to PCL, and meets the real-time requirements of the LIO system.

Language:C++License:GPL-2.0Stargazers:91Issues:0Issues:0

PanoVLM

PanoVLM: Low-Cost and Accurate Panoramic Vision and LiDAR Fused Mapping

Language:C++Stargazers:111Issues:0Issues:0

ICP-Flow

Official implementation: ICP-Flow: LiDAR Scene Flow Estimation with ICP (CVPR 2024).

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rostaller

Make it easy for you to install ROS 1 (indigo, kinetic, melodic and noetic) and ROS 2 (galactic) on corresponding ubuntu distributions automatically in just 4 steps.

Language:PythonLicense:MITStargazers:138Issues:0Issues:0

Active-SLAM-with-Cartographer

This work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are described in the paper "Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration" (IROS2020).

Language:C++License:GPL-3.0Stargazers:138Issues:0Issues:0

Ground-Fusion

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

Language:C++License:GPL-3.0Stargazers:251Issues:0Issues:0

Fast-Drone-250

hardware and software design of the 250mm autonomous drone

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glocal_exploration

Efficient local and global exploration on submap collections with changing past pose estimates.

Language:C++License:BSD-3-ClauseStargazers:173Issues:0Issues:0

iG-LIO_SAM_LC

iG-LIO with Loop Closure(PGO) and Online Re-Localize

Language:C++License:MITStargazers:129Issues:0Issues:0

M2DGR-plus

Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)

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SHINE_mapping

🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)

Language:PythonLicense:MITStargazers:431Issues:0Issues:0

fastcampus_slam_codes

Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series

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CSF

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

Language:C++License:Apache-2.0Stargazers:463Issues:0Issues:0

FAST-LIO-SAM-SC-QN

A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP

Language:C++License:NOASSERTIONStargazers:70Issues:0Issues:0

ImMesh

ImMesh: An Immediate LiDAR Localization and Meshing Framework

Language:C++Stargazers:568Issues:0Issues:0
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LiDAR-PTQ

ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.

Stargazers:54Issues:0Issues:0

lidar_degeneracy_datasets

LiDAR degeneracy dataset for LiDAR-radar-inertial fusion methods.

License:BSD-3-ClauseStargazers:122Issues:0Issues:0

PlanarSLAM

A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.

Language:C++Stargazers:371Issues:0Issues:0

nvblox_ros1

ROS1 wrappers for GPU-acceleration volumetric mapping with nvblox.

Language:C++License:Apache-2.0Stargazers:58Issues:0Issues:0

Cloud_Map_Evaluation

Point cloud map evaluation library for the FusionPortable dataset. Metrics include Mean Map Entropy (MME), RMSE, Accuracy(mean error), Precision(standard deviation), completeness(overlap ratio), chamfer distance and F1-score at all levels of 1/2/5/10/20cm.

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carmen_player_ros

A player of CARMEN log files to use them in ROS

Language:C++License:Apache-2.0Stargazers:3Issues:0Issues:0