In this study, we develop a new laser-based SLAM algorithm by redesigning the two core elements common to all SLAM systems, namely the state estimation and map construction. Utilizing Gaussian process (GP) regression, we propose a new type of map representation based on the regionalized GP map...
GP-SLAM is being developed byJing DongandXinyan Yanas part of their work at Georgia Tech Robot Learning Lab. Prerequisites CMake >= 2.6 (Ubuntu:sudo apt-get install cmake), compilation configuration tool. Boost>= 1.46 (Ubuntu:sudo apt-get install libboost-all-dev), portable C++ source libr...
The GP-SLAM library is designed to be cross-platform, but it has been only tested on Ubuntu Linux for now. Tested Compilers: GCC 4.8, 5.4 Tested Boost version: 1.48-1.61 Linking to External Projects We provide easy linking to externalCMakeprojects. Add following lines to your CMakeLists.tx...
online-gpslam-codeHo**on 上传3.32 MB 文件格式 zip Invalid JSONCode for the paper "Incremental Sparse GP Regression for Continuous-time Trajectory Estimation and Mapping" 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 fanadmin 后台系统框架-单用户独立版本 ...
王贵平GP 23-07-27 17:00 发布于 中国香港 来自 微博网页版 太阳新援比尔登上《SLAM》杂志封面#球鞋很潮# #保罗比尔互换东家# û收藏 转发 2 ñ7 评论 o p 同时转发到我的微博 按热度 按时间 正在加载,请稍候... Ü 简介: 《鞋圈儿》官方微博/篮球解说王贵平 更多...
提出一种融合单目视觉SLAM与机载GPS信息的无人机视频目标定位方法.首先利用单目视觉SLAM实时估计相机相对位姿,融合机载GPS数据,得到WGS84坐标系下的相机位姿估计;其次利用融合后的相机位姿将已知GPS路标投影到像平面,实现GPS路标与无人机监控视频的叠加显示;最后通过关键帧间的极线搜索匹配确定目标像素点的匹配...
Not Everyone Shares GP’s Hope for the NBA’s Return to Seattle Share Tweet Email According to former Sonic James Donaldson, The Glove may be getting a little ahead of himself. Trending 01 SLAM Night in Houston, LSU and All-Star: Here’s What We’ve Been Up to in February 02 Golde...
亚博智能(YahBoom) ROS2机器人阿克曼无人自动驾驶小车SLAM建图导航树莓派视觉识别 【豪华版】树莓派4B-4GB 不含主控 全网比价 京东 最低 ¥2589 商品介绍完善信息 规格查看更多 类型 机器人 功能 语音控制AI语音识别教材同步学免费正版教材学习工具 续航时间 ...
Fast relocalisation and loop closing in keyframe-based SLAM In this paper we present for the first time a relocalisation method for keyframe-based SLAM that can deal with severe viewpoint change, at frame-rate, in m... R Mur-Artal,JD Tardós - 《Proceedings IEEE International Conference on...
一种基于回环检测的SLAM后端轨迹优化方法,包括以下步骤:S1:获取传感器数据;S2:对S1所获取的数据进行数据处理,以获取机器人初始位姿;S3:通过S2所得的初始位姿,构建位姿图模型;S4:对S3所构建的位姿图模型,进行闭环检测;分割出位姿图模型的闭环部分和非闭环部分;S5:对检测后的不同部分分别进行优化;本方法在每次检测到...