• 多传感器融合标定方法汇总


    点击上方“3D视觉工坊”,选择“星标”

    干货第一时间送达

    作者丨Tom Hardy@知乎

    来源丨https://zhuanlan.zhihu.com/p/268908000

    编辑丨3D视觉工坊

    本文汇总了常见的一些单传感器、多传感器的标定融合paper、工程代码,应用于自动驾驶、3D视觉、SLAM等领域,供大家学习参考~

    1、相机标定

    Online Calibration of Exterior Orientations of a Vehicle-Mounted Surround-View Camera System

    Calibration of fisheye camera using entrance pupil(鱼眼相机)

    一些开源代码:

    https://github.com/VLOGroup/dvs-calibration;

    https://github.com/gorchard/DVScalibration。

    2、单相机在线标定

    1、A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines。

    下载:https://arxiv.org/abs/1908.06539v1

    2、Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement

    下载:https://arxiv.org/abs/1702.06451v2

    3、Autocamera Calibration for traffic surveillance cameras with wide angle lenses

    下载:https://arxiv.org/abs/2001.07243v1

    3、多相机标定

    1、Calibration of Asynchronous Camera Networks: CALICO

    下载:https://arxiv.org/abs/1903.06811v2

    2、Infrastructure-based Multi-Camera Calibration using Radial Projections

    3、 Infrastructure-Based Calibration of a Multi-Camera Rig

    4、Leveraging Image-based Localization for Infrastructure-based Calibration of a Multi-camera Rig

    4、相机雷达标定

    1)Unified Intrinsic and Extrinsic Camera and LiDAR Calibration under Uncertainties(ICRA2020)

    2)Analytic Plane Covariances Construction for Precise Planarity-Based Extrinsic Calibration of Camera and LiDAR(ICRA2020)

    3)A Novel Calibration Method between a Camera and a 3D LiDAR with Infrared Images(ICRA2020)

    4)Online Camera-LiDAR Calibration with Sensor Semantic Information(ICRA2020)

    5)Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences

    6)A Novel Method for the Extrinsic Calibration of a 2D Laser Rangefinder and a Camera

    下载:https://arxiv.org/abs/1603.04132v4

    7)LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry

    下载:https://arxiv.org/abs/1804.05178v1

    8)Improvements to Target-Based 3D LiDAR to Camera Calibration

    下载:https://arxiv.org/abs/1910.03126v2

    9)Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems

    下载:https://arxiv.org/abs/1904.08743v2

    10)Semantic sensor fusion: from camera to sparse lidar information

    下载:https://arxiv.org/abs/2003.01871v1

    11)Automatic online calibration of cameras and lasers

    12)Radar and vision sensors calibration for outdoor 3D reconstruction

    13)A novel method of spatial calibration for camera and 2D radar based on registration

    一些项目代码:

    https://github.com/ankitdhall/lidar_camera_calibration;

    https://github.com/robofit/but_velodyne/tree/master/but_calibration_camera_velodyne.

    5、事件相机和Lidar标定

    Calibration of Event-based Camera and 3D LiDAR

    6、Lidar和双目相机标定融合

    Intersection Safety using Lidar and Stereo sensors

    https://zhuanlan.zhihu.com/p/147051259

    7、激光雷达、Camera、毫米波雷达融合

    1)Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking.

    2)An Extrinsic Calibration Tool for Radar, Camera and Lidar

    3)Extrinsic 6DoF Calibration of 3D LiDAR and Radar

    4)Extrinsic 6DoF Calibration of a Radar – LiDAR – Camera System Enhanced by Radar Cross Section Estimates Evaluation

    8、IMU标定与融合

    IMU内参标定:

    https://github.com/Kyle-ak/imu_tk;

    http://www.olliw.eu/2013/imu-data-fusing/;

    9、Lidar-IMU标定

    https://github.com/ethz-asl/lidar_align

    10、Camera-IMU标定

    https://github.com/ethz-asl/kalibr/wiki/calibrating-the-vi-sensor;

    https://github.com/ethz-asl/kalibr;

    11、2D Lidar标定

    Extrinsic Calibration of an Eye-In-Hand 2D LiDAR Sensor in Unstructured Environments Using ICP

    12、手眼标定

    13、其它

    1)AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM

    2)A Stable Adaptive Observer for Hard-Iron and Soft-Iron Bias Calibration and Compensation for Two-Axis Magnetometers: Theory and Experimental Evaluation

    3)Precise 3D Calibration of Wafer Handling Robot by Visual Detection and Tracking of Elliptic-Shape Wafers

    4)Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick

    5)Learning Camera Miscalibration Detection

    6)Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking

    14、优秀博客

    多传感器标定数据融合:

    https://blog.csdn.net/qq_17256689/article/details/100037699?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-2&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-2

    15、源码

    https://github.com/tudelft-iv/multi_sensor_calibration

    本文仅做学术分享,如有侵权,请联系删文。

    下载1

    在「3D视觉工坊」公众号后台回复:3D视觉,即可下载 3D视觉相关资料干货,涉及相机标定、三维重建、立体视觉、SLAM、深度学习、点云后处理、多视图几何等方向。

    下载2

    在「3D视觉工坊」公众号后台回复:3D视觉github资源汇总,即可下载包括结构光、标定源码、缺陷检测源码、深度估计与深度补全源码、点云处理相关源码、立体匹配源码、单目、双目3D检测、基于点云的3D检测、6D姿态估计源码汇总等。

    下载3

    在「3D视觉工坊」公众号后台回复:相机标定,即可下载独家相机标定学习课件与视频网址;后台回复:立体匹配,即可下载独家立体匹配学习课件与视频网址。

    重磅!3DCVer-学术论文写作投稿 交流群已成立扫码添加小助手微信,可申请加入3D视觉工坊-学术论文写作与投稿 微信交流群,旨在交流顶会、顶刊、SCI、EI等写作与投稿事宜。
    同时也可申请加入我们的细分方向交流群,目前主要有3D视觉CV&深度学习SLAM三维重建点云后处理自动驾驶、CV入门、三维测量、VR/AR、3D人脸识别、医疗影像、缺陷检测、行人重识别、目标跟踪、视觉产品落地、视觉竞赛、车牌识别、硬件选型、学术交流、求职交流、ORB-SLAM系列源码交流、深度估计等微信群。一定要备注:研究方向+学校/公司+昵称,例如:”3D视觉 + 上海交大 + 静静“。请按照格式备注,可快速被通过且邀请进群。原创投稿也请联系。▲长按加微信群或投稿▲长按关注公众号

    3D视觉从入门到精通知识星球:针对3D视觉领域的知识点汇总、入门进阶学习路线、最新paper分享、疑问解答四个方面进行深耕,更有各类大厂的算法工程人员进行技术指导。与此同时,星球将联合知名企业发布3D视觉相关算法开发岗位以及项目对接信息,打造成集技术与就业为一体的铁杆粉丝聚集区,近2000星球成员为创造更好的AI世界共同进步,知识星球入口:

    学习3D视觉核心技术,扫描查看介绍,3天内无条件退款 圈里有高质量教程资料、可答疑解惑、助你高效解决问题觉得有用,麻烦给个赞和在看~  

    个人微信公众号:3D视觉工坊
  • 相关阅读:
    PHP关于VC11,VC9,VC6以及Thread Safe和Non Thread Safe版本选择的问题
    团队展示
    测试与优化:设计模式的应用和初次尝试多线程
    结对编程,三年级混合运算
    一个大气又可爱的标题
    随笔
    C#操作word类文件
    TypeError: Object of type 'int32' is not JSON serializable ——已解决
    Error: UserWarning: Ignoring URL... 已解决
    tensorflow(二)----线程队列与io操作
  • 原文地址:https://www.cnblogs.com/YongQiVisionIMAX/p/14054901.html
Copyright © 2020-2023  润新知