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2dscanmatching_slam

Set of algorithms for 2D scan matching. Comparison of the state of the art.

3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-machine-learning

A resource repository for 3D machine learning

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

3d_point_organization

3D LiDAR Point Cloud Organized as Depth Map, Height Map and Surface Normal Map

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

apollo

An open autonomous driving platform

apollo-kernel

Collections of Apollo Kernels

apollo-platform

Collections of Apollo Platform Software

applied-deep-learning-resources

A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.

autoware

Open-source software for urban autonomous driving.

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-object-proposals

A curated list of object proposals resources for object detection

awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

best-websites-a-programmer-should-visit-zh

程序员应该访问的最佳网站中文版

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer-1

关于谷歌slam地图库cartographer的源码注释

cartographer_ros

Provides ROS integration for Cartographer.

cgr_localization

My CGR Localization fork from http://www.cs.cmu.edu/~coral/projects/localization/source.html

cloudcompare

CloudCompare main repository

cpp-filters

cuckoo_time_translator

algorithms for synchronizing clocks

darknet

Darknet modified for vehicle detection using Velodyne data

driving_public

Public packages from the Stanford Driving Team. Allows to work with our log files.

dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

earthenterprise

Google Earth Enterprise - Open Source

ethzasl_icp_mapping

3D mapping tools for robotic applications

extended-kalman-filter-lidar-radar-data-

Object Tracking using Extended Kalman Filter by Fusing Lidar and Radar data

fine-to-coarse-registration

Implementation of the Fine-To-Coarse Registration algorithm: