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apollo

An open autonomous driving platform

apollo2.0

books

ROS学习相关电子书，目前收集了10本

cartographer_ros

Provides ROS integration for Cartographer.

corb-slam

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

gtsam_catkin

A catkin wrapper for GTSAM

hector_calibration

ROS packages related to calibration of robots and subsystems (cameras, LIDAR, kinematics)

laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

lee-slam-source

SLAM 开发学习资源与经验分享

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera

mask_rcnn_keypoints

将Mask_RCNN应用于关键点检测，基于TensorFlow和Keras

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

open3d

Open3D: A Modern Library for 3D Data Processing

open3d-semantic-kitti-vis

Open3D based Semantic KITTI visualization tool

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

pointrcnn

The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.

radar_sam

基于LIO_SAM二次开发的，使用4D毫米波雷达/gps/imu的radar_slam方法

radar_slam

A package for SLAM implementations using radar sensors.

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

sdf_tracker-ls

Compressed Voxel-Based Mapping Using Unsupervised Learning

segmap

A map representation based on 3D segments

simple-opencv-kalman-tracker

A simple Ball Tracker made using OpenCV to demonstrate the use of the Kalman Filter in Computer Vision

suma

Surfel-based Mapping for 3d Laser Range Data (SuMa)

tracking-with-extended-kalman-filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

velodyne_calibration

zh-google-styleguide

Google 开源项目风格指南 (中文版)