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deepdream

double_laser_mapping_location

ros1 gazebo cartographer amcl

dqn_of_dwa_matlab

learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)

dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

extended-kalman-filter

采用激光雷达和毫米波两种雷达，采用扩展卡尔曼滤波实现汽车的定位

fix_pose

定点导航及最后导航点的位姿修正

gazebo_map_creator

glocal_exploration

Efficient local and global exploration on submap collections with changing past pose estimates.

gn_and_ndt

Hector-SLAM相关的论文和写了简单中文注释的代码

graph_dynamic_slam

ROS graph slam for dynamic environment

ground_truth_octomap_from_gazebo_world

A method to generate a ground truth octomap from a Gazebo world

gvsbuild

GTK stack for Windows

imgalign

Webapplication for image stitching and aligning

iros2018-slam-papers

IROS2018 SLAM papers (ref from PaoPaoRobot)

keyboardteleopjs

Keyboard Teleoperation via Twist Messages

landmark_detection_tracking

SLAM algorithm to detect landmark for a robot moving in a dynamic environment

lanedetect_by_slidewindow

laser2map

match laser data to map

laser_slam

激光slam 完整答案解析 和 个人笔记

learn

一些知识的整理

learnviorb

ORB-SLAM2+IMU 紧耦合、ORB稀疏前端、图优化后端、带闭环检测和重定位

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

linesegmentdetector-slam

基于CPP+OPENCV4.0实现的LineSegmentDetector定位算法

loam_continuous

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_velodyne

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

localization_in_auto_driving

lvins

imu与三维激光紧耦合定位

map_server

map_server for Cartographer

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn