上一节介绍了陀螺仪Imu传感数据的订阅和发布. 本节会介绍路标Landmark数据的发布和订阅.Landmark在cartographer中作为定位的修正补充,避免定位丢失. 这里着重解释一下Landmark,它与Scan,Odom,Imu数据不同,并不是直接的传感数据.它是地图上的特征点,通常是易被识别的物体. 在cartographer中,通常是用反光柱或者二维码做landmark,实际上反光柱用的更多,因为反光柱同样可以使用激光雷达识别,不需要添加多的传感器. 对于用反光板构建landma

在Google开源SLAM软件cartographer中,相对<SLAM for dummies>使用了更为复杂.性能更好的Scan匹配与UKF算法,这里简单介绍下cartographer中使用的UKF算法. (一)滤波器参数设定 constexpr static FloatType kAlpha = 1e-3; constexpr static FloatType kKappa = 0.; constexpr static FloatType kBeta = 2.; constexpr st

谷歌自己提供了安装方法,但是安装比较繁琐,我做了一定的修改,代码放到个人github上,https://github.com/hitcm/. ros下面的安装非常快捷,只需要catkin_make即可. 更多细节,可以看看知乎的问题https://www.zhihu.com/question/51348391/answer/125560951?from=profile_answer_card 个人理解错误的地方还请不吝赐教,转载请标明出处,内容如有改动更新,请看原博:http://www.cnb

github source: https://github.com/googlecartographer/cartographer_turtlebot 1. Building & Installation Installation has been tested on Ubuntu 14.04 (Trusty) with ROS Indigo, but may also work on Ubuntu 16.04 (Xenial) with ROS Kinetic. We recommend us

Cartographer is a backpack equipped with Simultaneous Localization and Mapping (SLAM) technology. 1. Platform Dell PC installed Ubuntu 14.4 and ROS Indigo. 2. Building & Installation We recommend using wstool and rosdep. For faster builds, we also re

What is Cartographer? Google announce the open source release of Cartographer, a real-time simultaneous localization and mapping (SLAM) library in 2D and 3D with ROS support, in October 2016. As Robotics Trends said, "Google wants to democratize the

最近终于写完了毕业论文.想仔细研究下Cartographer.无奈自己学识有限,先看下网上大牛的解析,作一个汇总. 一.泡泡机器人原创专栏-cartographer理论及实践浅析 http://mp.weixin.qq.com/s/LdbFp-Zvkr02-_25ILb16g 二.[SLAM](一)Google Cartographer的初步尝试 三.kint_zhao的博客:http://blog.csdn.net/zyh821351004/article/details/52421005 四

转载自谷歌Cartographer学习(1)-快速安装测试 代码放到个人github上,https://github.com/hitcm/ 如下,需要安装3个软件包,ceres solver.cartographer和cartographer_ros 1.首先安装ceres solver,选择的版本是1.11,路径随意. git clone https://github.com/hitcm/ceres-solver-1.11.0.git mkdir build cd ceres-solver-1

ROS_Kinetic_27 在ROS中使用Cartographer进行SLAM Cartographer是谷歌新開源的通用的2D和3D定位與構圖同步的SLAM工具,並提供ROS接口. 论文Real-Time Loop Closure in 2D LIDAR SLAM下载地址: http://download.csdn.net/detail/zhangrelay/9648192 资料汇总请参考:http://blog.csdn.net/zhangrelay/article/details/527

中文资料稍后补充 Introducing Cartographer By Tully Foote on October 5, 2016 10:11 AM From Damon Kohler, Wolfgang Hess, and Holger Rapp, Google Engineering We are happy to announce the open source release of Cartographer, a real-time SLAM library in 2D and 3D

1.点云同步处理的类  RangeDataCollator class RangeDataCollator { public: explicit RangeDataCollator( const std::vector<std::string>& expected_range_sensor_ids) : expected_sensor_ids_(expected_range_sensor_ids.begin(), expected_range_sensor_ids.end()) {}

安装过程: 官方安装教程: https://google-cartographer-ros.readthedocs.io/en/latest/index.html # Install wstool and rosdep. sudo apt-get update sudo apt-get install -y python-wstool python-rosdep ninja-build # Create a new workspace in 'catkin_ws'. mkdir catkin_w

在官网的基础上稍加修改,但保证代码都是最新的 我的系统配置: Debian9 strech,  ROS lunar 该方法对 ubuntu 系列操作系统以及其他ROS版本同样适用. 1.  安装依赖库 sudo apt-get install -y \ g++ \ git \ google-mock \ libboost-all-dev \ libcairo2-dev \ libeigen3-dev \ libgflags-dev \ libgoogle-glog-dev \ liblua5.2

Debian 8 Jessie 一顿操作梦如虎,最后不知道咋装上的. 参考:https://www.jianshu.com/p/9922a51ce38f https://blog.csdn.net/passball/article/details/53701795 前面几步没什么好说的,看官网https://google-cartographer-ros.readthedocs.io/en/latest/中部分,也可参考http://blog.exbot.net/archives/2852k中记

原文链接:http://blog.csdn.net/zyh821351004/article/details/52421005 cartographer与karto的比较 1. 两者采取的都是图优化框架.  采取的优化库不一致, karto采取的是spa(karto_slam)或g2o(nav2d), cartographer采取的是google的ceres构建problem优化. karto的前端与后端采取的是单线程进行,cartographer按paper说明,采取的是4线程后端优化,还在进

IMU的输入为imu_linear_acceleration 和  imu_angular_velocity 线加速和角速度.最终作为属性输出的是方位四元数.  Eigen::Quaterniond orientation() const { return orientation_; } /* * Copyright 2016 The Cartographer Authors * * Licensed under the Apache License, Version 2.0 (the "Lic

LocalTrajectoryBuilder意思是局部轨迹的构建,下面的类图中方法的参数没有画进去. 注意其中的三个类:PoseExtrapolator类,RealTimeCorrelativeScanMatcher类和CeresScanMatcher类. (1)PoseExtrapolator类(如下图),Node类和LocalTrajectoryBuilder类都有用到PoseExtrapolator对象,好像两者之间并没有什么关系? LocalTrajectoryBuilder中的Pose

PoseGraph位姿图 mapping2D::PoseGraph类的注释: // Implements the loop closure method called Sparse Pose Adjustment (SPA) from// Konolige, Kurt, et al. "Efficient sparse pose adjustment for 2d mapping."// Intelligent Robots and Systems (IROS), 2010 IEEE/

MapBuilder的成员变量sensor::Collator sensor_collator_; 再次阅读MapBuilder::AddTrajectoryBuilder方法.首先构造了mapping::GlobalTrajectoryBuilder实例,接着作为参数构造了CollatedTrajectoryBuilder实例. trajectory_builders_.push_back( common::make_unique<CollatedTrajectoryBuilder>( &a

1.验证自己的bag cartographer ROS提供了一个工具cartographer_rosbag_validate来自动分析包中的数据.在尝试调试cartographer之前运行这个工具. 操作方式: cartographer_rosbag_validate -bag_filename your_bag.bag 2.创建一个.lua配置文件 cartographer非常灵活且可以配置用于任何机器人上.机器人配置读取来自于一个options的数据结构,该数据结构必须定义在一个Lua脚本里

1.系统要求 cartographer ROS与Cartographer要求一样,即 64-bit, modern CPU (e.g. 3rd generation i7) 16 GB RAM Ubuntu 14.04 (Trusty) and 16.04 (Xenial) gcc version 4.8.4 and 5.4.0 支持的ROS版本: Indigo Kinetic Lunar Melodic 编译并安装 为了编译Cartographer ROS,推荐使用wstool 和 rosde