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coarse-to-fine-correspondences

PyTorch implementation of NeurIPS 2021 paper: "CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration"

cobigicp

[IROS2020] CoBigICP: COrrentropy based BIdirectional Generalized ICP

completionformer

[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

coslam

CoSLAM is a visual SLAM software that aims to use multiple freely moving cameras to simultaneously compute their egomotion and the 3D map of the surrounding scenes in a highly dynamic environment.

cosplace

Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"

coxgraph

Code for "Coxgraph: Multi-Robot Collaborative, Globally Consistent, Online Dense Reconstruction System", IROS 2021 Best Paper Award Finalist on Safety, Security, and Rescue Robotics in memory of Motohiro Kisoi

cpf_localization

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

cslibs_ndt

This library contains fast and sparse implementations of multi-dimensional map representations using Normal Distributions Transforms.

ct_icp

Continuous Time LiDAR odometry

cubemapslam

A Piecewise-Pinhole Monocular Fisheye SLAM System

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

d-map

D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.

datmo

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

dcl-slam

A ROS package of DCL-SLAM: Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm.

deep_features

A ROS package for deep CNN-based feature extraction and publishing

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

demo_lidar-1

demo_rgbd_slimmed

Depth Enhanced Monocular Odometry (RGBD camera slimmed down version)

densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

densitypeakcluster

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.

depth-completion

Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

depth_segmentation

A collection of segmentation methods working on depth images

deviloc

[CVPR2024 Oral] Learning to Produce Semi-dense Correspondences for Visual Localization

dingdang-robot

🤖 叮当是一款可以工作在 Raspberry Pi 上的中文语音对话机器人/智能音箱项目。

direct_lidar_inertial_odometry

[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

direct_lidar_odometry

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

direct_stereo_slam

Fast Direct Stereo Visual SLAM

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]