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advanced-lane-lines

Finding lane lines using sliding window search.

apollo

An open autonomous driving platform

awesome-point-cloud-place-recognition

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

collaborativeslamdataset

The dataset associated with our ISMAR 2018 paper on Collaborative SLAM.

d3feat

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

d3feat.pytorch

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

dream_track

e2box_imu_9dofv4

E2BOX IMU 9DOF V4 ros package

eezybotarm-mk2-cartesian-coordinates

A cartesian coordinate system for the EEZYbotARM MK2 project that I use for my "Dave" project.

elg_mo_log

erfnet

fast_lio_slam

LiDAR SLAM = FAST-LIO + Scan Context

fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

frenet

Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

gcn.pytorch

Graph Convolutional Networks for Text Classification.

google-research

Google Research

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

keyregion_globallocalmatching

keyregiongraphmatching

lanenetros

Ros node to use LaneNet to detect the lane in camera

mdgat-matcher

[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

pytorch_gnn_implementation

PyTorch implementation of GNN models

robot_vision_training

Study on win

sc-a-loam

Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

slam_gmapping

http://www.ros.org/wiki/slam_gmapping

superglue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)