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360sd-net

360° Stereo Depth Estimation with Learnable Cost Volume

4th_uavgp

The 4th International UAV Innovation Grand Prix Project code (visual detection part)

apollo

An open autonomous driving platform

awesome-deep-metric-learning

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-point-cloud-place-recognition

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

awesome-slam-datasets

A curated list of awesome datasets for SLAM

awesome-snn-conference-paper

🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

capda_carla

capture data for multiple sensors on Carla platform

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-localization-mapping

A collection of deep learning based localization models

dso

Direct Sparse Odometry

examples

Many examples of many features of many software packages

faiss

A library for efficient similarity search and clustering of dense vectors.

flir_camera_qt

A software to capture FLIR infrared thermal camera images under the Qt framework

hdl_graph_slam

3D LIDAR-based Graph SLAM

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

hitpr

image-local-attention

A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.

imukin2

IMUKin2: a program for reading IMU (mpu6050) and Kinect v2 synchronously.

iros2018-slam-papers

IROS2018 SLAM papers (ref from PaoPaoRobot)

kintinuous

Real-time large scale dense visual SLAM system

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loam_velodyne-1

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

metric-learn

Metric learning algorithms in Python

monodepth2

Monocular depth estimation from a single image

monodepth360

Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.

msc6050

Mpu6050 Serial port Communication: a program to communicate with the mpu6050 by the serial port and process data.

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition