PCDViewer-5.0.0-Ubuntu18.04.rar_PCDViewer资源-CSDN文库

共151个文件

3：40个

1：21个

0：18个

可视化

PointCloud

Visualization

SLAM

需积分: 5 59 浏览量 2024-06-23 13:39:17 上传评论收藏 37.89MB RAR 举报

《PCDViewer 5.0.0：点云可视化与编辑的强大工具》在现代计算机视觉和机器人领域，点云数据扮演着至关重要的角色。PCDViewer 5.0.0 是一款专为 Ubuntu 18.04 操作系统设计的轻量化且功能丰富的点云处理软件，它为用户提供了高效、直观的点云数据查看和编辑解决方案。这款软件不仅支持多种点云格式，如 PCD、PLY 和 LAS，还具备处理大规模点云数据的能力，使得科研人员和工程师能更好地理解和利用这些复杂的数据。点云（PointCloud）是3D空间中的离散数据点集，通常由激光雷达（LiDAR）、深度相机等传感器生成。在自动驾驶、无人机导航、三维重建等领域，点云数据是获取环境信息的重要手段。PCDViewer 支持的 PCD 格式（Point Cloud Data）是由 PointCloud Library（PCL）库开发的一种广泛使用的点云存储格式，具有灵活的数据结构和高效的压缩能力。在可视化方面，PCDViewer 提供了多方式多字段渲染功能，这意味着用户可以根据点云的不同属性，如颜色、深度、法线等进行定制化的视觉呈现。这在分析点云数据时极其有用，可以快速识别出数据的特征和模式。例如，通过颜色编码，可以直观地看到不同区域的高度差异，或者根据反射强度区分物体表面性质。除了基本的查看功能，PCDViewer 还具备编辑功能，允许用户对点云进行修剪、滤波、配准等操作，进一步提升数据的质量和适用性。例如，高斯滤波可以平滑噪声，去除不必要的细节；地面去除算法则可以帮助提取建筑物或树木等地面以上的特征。 SLAM（Simultaneous Localization and Mapping，即同时定位与建图）是机器人和自动驾驶领域的一项核心技术，点云数据是SLAM算法的重要输入。PCDViewer 的强大功能使其成为SLAM研究和应用中不可或缺的辅助工具，用户可以方便地预览和调整SLAM算法产生的点云地图，从而优化算法性能。在 Ubuntu 18.04 上运行的 PCDViewer 5.0.0 版本确保了良好的稳定性和兼容性，这为依赖Linux环境的研究和开发工作提供了便利。该软件的界面友好，操作简便，无论是初学者还是经验丰富的专业人士，都能快速上手并发挥其潜力。 PCDViewer 5.0.0 是一款强大的点云处理工具，集成了查看、编辑和分析等多种功能，为点云数据的处理和应用提供了全面的支持。对于从事3D视觉、机器人技术或相关领域的工作者来说，这是一款不可多得的实用软件。

资源推荐

资源详情

资源评论

收起资源包目录

PCDViewer-5.0.0-Ubuntu18.04.rar （151个子文件）

libp11-kit.so.0 1.18MB

libglib-2.0.so.0 1.09MB

libsqlite3.so.0 1.03MB

libharfbuzz.so.0 631KB

libGLdispatch.so.0 598KB

libOpenNI.so.0 495KB

libOpenNI2.so.0 247KB

libwind.so.0 162KB

libpthread.so.0 142KB

libidn2.so.0 114KB

libusb-1.0.so.0 95KB

libbsd.so.0 78KB

libGLX.so.0 67KB

libbz2.so.1.0 65KB

libjbig.so.0 57KB

libkrb5support.so.0 43KB

libheimntlm.so.0 35KB

libaec.so.0 30KB

libGLEW.so.2.1 828KB

libGL.so.1 554KB

libjsoncpp.so.1 199KB

libgomp.so.1 187KB

libxcb.so.1 158KB

libboost_thread.so.1.65.1 147KB

libudev.so.1 118KB

libz.so.1 114KB

librtmp.so.1 111KB

libboost_filesystem.so.1.65.1 103KB

libboost_iostreams.so.1.65.1 103KB

libgcc_s.so.1 94KB

libdouble-conversion.so.1 66KB

libheimbase.so.1 59KB

libnuma.so.1 43KB

libcrypt.so.1 38KB

librt.so.1 31KB

libboost_chrono.so.1.65.1 18KB

libboost_system.so.1.65.1 18KB

libkeyutils.so.1 14KB

libutil.so.1 10KB

libgmp.so.10 514KB

libhdf5_serial.so.100 3.33MB

libhdf5_serial_hl.so.100 135KB

libnetcdf.so.13 1.09MB

libnghttp2.so.14 150KB

libpng16.so.16 198KB

libroken.so.18 87KB

libunistring.so.2 1.49MB

libldap_r-2.4.so.2 319KB

libgssapi_krb5.so.2 298KB

ld-linux-x86-64.so.2 175KB

libsasl2.so.2 107KB

libresolv.so.2 95KB

libtinyxml.so.2.6.2 83KB

liblber-2.4.so.2 54KB

libdl.so.2 14KB

libcom_err.so.2 14KB

libsz.so.2 10KB

libmpi.so.20 896KB

libopen-pal.so.20 685KB

libopen-rte.so.20 537KB

libmpi_cxx.so.20 104KB

libkrb5.so.26 560KB

libvtkFiltersCore-6.3.so.6.3 4.81MB

libvtkCommonDataModel-6.3.so.6.3 3.35MB

libvtkFiltersGeneral-6.3.so.6.3 3.18MB

libvtkCommonCore-6.3.so.6.3 3.12MB

libvtkRenderingCore-6.3.so.6.3 2.5MB

libvtkImagingCore-6.3.so.6.3 1.81MB

libvtkIOImage-6.3.so.6.3 1.51MB

libvtkIOGeometry-6.3.so.6.3 1.09MB

libvtkFiltersExtraction-6.3.so.6.3 1.05MB

libvtkFiltersParallel-6.3.so.6.3 859KB

libkrb5.so.3 857KB

libvtkFiltersSources-6.3.so.6.3 772KB

libvtkCommonExecutionModel-6.3.so.6.3 668KB

libvtkIOLegacy-6.3.so.6.3 655KB

libvtkmetaio-6.3.so.6.3 590KB

libvtkFiltersStatistics-6.3.so.6.3 549KB

libvtkFiltersGeometry-6.3.so.6.3 546KB

libvtkIOParallel-6.3.so.6.3 526KB

libvtkFiltersModeling-6.3.so.6.3 481KB

libvtkIOCore-6.3.so.6.3 457KB

libpcre.so.3 450KB

libvtkIONetCDF-6.3.so.6.3 409KB

libvtkParallelCore-6.3.so.6.3 304KB

libvtksys-6.3.so.6.3 277KB

libgssapi.so.3 259KB

libvtkCommonComputationalGeometry-6.3.so.6.3 239KB

libvtkIOMPIParallel-6.3.so.6.3 217KB

libk5crypto.so.3 194KB

libvtkImagingFourier-6.3.so.6.3 187KB

libvtkCommonTransforms-6.3.so.6.3 184KB

libgraphite2.so.3 178KB

libvtkIOMPIImage-6.3.so.6.3 160KB

libvtkParallelMPI-6.3.so.6.3 148KB

libvtkalglib-6.3.so.6.3 139KB

libvtkCommonMath-6.3.so.6.3 128KB

libvtkCommonColor-6.3.so.6.3 106KB

libvtkIOPLY-6.3.so.6.3 96KB

libvtkDICOMParser-6.3.so.6.3 95KB

共 151 条

0 1669000000.324430 -1.79949 0.002519 -0.921 -0.000001 -0.000007 0.017514 0.999847 1 1669000000.423560 -1.708357 0.006662 -0.921 -0.000042 -0.000377 0.039366 0.999225 2 1669000000.523310 -1.465213 0.02722 -0.921 -0.000018 -0.00013 0.061221 0.998124 3 1669000000.622430 -1.269766 0.053482 -0.921 -0.000014 -0.000105 0.082008 0.996632 4 1669000000.721570 -1.159607 0.072923 -0.921 -0.000104 -0.000466 0.09825 0.995162 5 1669000000.820710 -0.970453 0.112265 -0.920999 0.000085 -0.000732 0.120379 0.992728 6 1669000000.919840 -0.742263 0.171668 -0.921 0.000106 -0.000298 0.145228 0.989398 7 1669000001.018960 -0.634637 0.204936 -0.920999 0.000215 -0.000734 0.159817 0.987146 8 1669000001.118090 -0.388845 0.290533 -0.921002 0.000043 -0.000191 0.18499 0.98274 9 1669000001.217210 -0.207567 0.363919 -0.921002 -0.000026 -0.000037 0.201211 0.979548 10 1669000001.316360 -0.059445 0.429092 -0.921004 -0.000094 -0.000004 0.216429 0.976298 11 1669000001.415510 0.156627 0.532371 -0.921003 -0.000037 -0.000146 0.233911 0.972258 12 1669000001.514700 0.301716 0.607784 -0.920995 0.000128 -0.000377 0.24862 0.968601 13 1669000001.613890 0.482721 0.707561 -0.920998 0.000215 -0.000458 0.258922 0.965898 14 1669000001.713010 0.726992 0.852892 -0.921 0.000083 -0.000298 0.276189 0.961103 15 1669000001.812180 0.874654 0.946717 -0.920999 0.000041 -0.000365 0.285298 0.958439 16 1669000001.911320 1.131811 1.11825 -0.921001 0.000038 -0.000007 0.296631 0.954992 17 1669000002.010450 1.271578 1.215776 -0.921003 0.000365 -0.00002 0.304784 0.952422 18 1669000002.109570 1.532754 1.403918 -0.921001 0.000013 0.000004 0.312414 0.949946 19 1669000002.208760 1.678535 1.512662 -0.921013 0.000256 0.000111 0.318367 0.947967 20 1669000002.307910 1.933501 1.706861 -0.921002 0.000159 0.000009 0.322892 0.946436 21 1669000002.407080 2.106252 1.840686 -0.921006 0.000114 0.000104 0.32498 0.945721 22 1669000002.506190 2.383515 2.057389 -0.921001 -0.000039 -0.000065 0.326152 0.945317 23 1669000002.605350 2.582568 2.213211 -0.921001 -0.000064 -0.000066 0.325863 0.945417 24 1669000002.704530 2.940089 2.492627 -0.921001 0.000183 -0.000001 0.325214 0.94564 25 1669000002.803640 3.129979 2.640456 -0.921017 0.000481 0.00044 0.32386 0.946105 26 1669000002.902760 3.418911 2.863523 -0.921021 0.000321 0.000475 0.32069 0.947184 27 1669000003.001870 3.801365 3.152589 -0.921 0.000073 0.000108 0.314819 0.949152 28 1669000003.101040 4.12425 3.390807 -0.921002 0.000101 0.000146 0.310099 0.950704 29 1669000003.200140 4.340538 3.54765 -0.921012 0.000188 0.000271 0.307054 0.951692 30 1669000003.299250 4.715074 3.813747 -0.921009 0.00017 0.000242 0.300877 0.953663 31 1669000003.398370 4.988814 4.002848 -0.921021 0.000268 0.000377 0.295754 0.955264 32 1669000003.497500 5.339486 4.23888 -0.921025 0.000297 0.000412 0.289618 0.957142 33 1669000003.596550 5.807481 4.543361 -0.920999 0.000051 0.000069 0.280118 0.959966 34 1669000003.695700 6.060242 4.702913 -0.921043 0.000336 0.000446 0.276216 0.961095 35 1669000003.794770 6.474885 4.95664 -0.920995 0.000173 -0.000013 0.267623 0.963524 36 1669000003.893870 6.931716 5.227397 -0.920997 0.000082 -0.000001 0.260921 0.96536 37 1669000003.993010 7.20142 5.383374 -0.920997 -0.000078 -0.000024 0.257314 0.966328 38 1669000004.092140 7.640215 5.631454 -0.921006 -0.000177 0.000026 0.252033 0.967719 39 1669000004.191240 7.976706 5.817797 -0.921006 -0.000019 0.000084 0.248517 0.968628 40 1669000004.290330 8.594065 6.15232 -0.921002 0.000069 0.00008 0.243236 0.969967 41 1669000004.389440 8.845167 6.28615 -0.921001 0.000063 0.000055 0.241599 0.970376 42 1669000004.488540 9.372984 6.562689 -0.921002 0.00007 0.000084 0.236849 0.971546 43 1669000004.587690 9.763506 6.763767 -0.921001 0.000124 0.000053 0.234564 0.972101 44 1669000004.686770 10.258963 7.016271 -0.921002 0.000164 0.000051 0.232502 0.972596 45 1669000004.785880 10.824681 7.301958 -0.921004 -0.000006 0.000048 0.230887 0.972981 46 1669000004.884980 11.44829 7.613657 -0.920999 -0.000047 -0.000029 0.228513 0.973541 47 1669000004.984080 11.747574 7.760745 -0.920577 0.000021 -0.000052 0.227642 0.973745 48 1669000005.083190 12.322492 8.042478 -0.92007 0.000078 0.000055 0.226262 0.974066 49 1669000005.182200 12.859339 8.305214 -0.919961 0.000236 0.000212 0.225161 0.974322 50 1669000005.281320 13.575249 8.652295 -0.920015 0.0002 0.000133 0.222422 0.97495 51 1669000005.380390 14.016812 8.861526 -0.919223 0.000339 0.000168 0.220982 0.975278 52 1669000005.479500 14.544469 9.11525 -0.920174 0.000096 -0.000028 0.219134 0.975695 53 1669000005.578560 15.145598 9.396063 -0.919393 0.000106 -0.000256 0.216774 0.976222 54 1669000005.677680 15.85074 9.724059 -0.919782 -0.000086 -0.000234 0.213341 0.976978 55 1669000005.776800 16.203403 9.884838 -0.919745 -0.000006 -0.000211 0.211103 0.977464 56 1669000005.875910 16.908053 10.201366 -0.92 0.000011 -0.000026 0.20652 0.978442 57 1669000005.975010 17.565325 10.487249 -0.919988 -0.00003 -0.000025 0.200669 0.979659 58 1669000006.074140 18.179422 10.743566 -0.919192 -0.000017 0.000043 0.195134 0.980777 59 1669000006.173250 18.799399 10.996509 -0.919222 0.000011 0.000034 0.189487 0.981883 60 1669000006.272390 19.507926 11.277298 -0.920091 -0.000058 0.00001 0.182503 0.983205 61 1669000006.371450 20.176415 11.529385 -0.920129 0.000052 0.000016 0.175815 0.984423 62 1669000006.470510 20.779996 11.748356 -0.920215 0.00004 0.000068 0.169852 0.98547 63 1669000006.569660 21.5451 12.012977 -0.919977 -0.000021 0.000049 0.16225 0.98675 64 1669000006.668790 22.250956 12.243902 -0.91951 0.000094 0.00021 0.154854 0.987937 65 1669000006.767920 22.830427 12.428765 -0.920289 -0.000046 -0.000084 0.149 0.988837 66 1669000006.866980 23.689269 12.683215 -0.919445 -0.000073 -0.00026 0.140612 0.990065 67 1669000006.966110 24.352036 12.871259 -0.919627 -0.000045 -0.000094 0.134182 0.990957 68 1669000007.065230 25.102195 13.072603 -0.919698 0.000035 0.000131 0.126997 0.991903 69 1669000007.164350 25.931879 13.278074 -0.91922 0.000087 0.000279 0.117882 0.993028 70 1669000007.263520 26.697622 13.456175 -0.919539 -0.000168 0.000204 0.109818 0.993952 71 1669000007.362640 27.465606 13.623474 -0.919875 -0.000193 -0.0002 0.103108 0.99467 72 1669000007.461750 28.227216 13.778156 -0.919877 -0.000117 -0.000445 0.09664 0.995319 73 1669000007.560880 29.000204 13.921599 -0.919067 -0.0002 -0.000744 0.089088 0.996023 74 1669000007.659980 29.788075 14.054684 -0.919168 -0.000204 -0.000731 0.079998 0.996795 75 1669000007.759120 30.521643 14.165396 -0.92048 -0.000064 -0.000219 0.068465 0.997654 76 1669000007.858150 31.25884 14.258349 -0.9194 -0.000201 -0.000671 0.061754 0.998091 77 1669000007.957380 32.178018 14.361212 -0.919897 -0.000147 -0.000472 0.051511 0.998672 78 1669000008.056530 32.842831 14.423758 -0.920166 -0.00012 -0.000376 0.043981 0.999032 79 1669000008.155650 33.670951 14.485101 -0.919724 -0.000189 -0.000575 0.034795 0.999394 80 1669000008.254790 34.476516 14.529488 -0.919757 -0.000192 -0.000566 0.025326 0.999679 81 1669000008.353940 35.312702 14.559883 -0.920112 -0.00015 -0.000424 0.014581 0.999894 82 1669000008.453140 36.113921 14.571938 -0.92016 -0.000146 -0.0004 0.004588 0.999989 83 1669000008.552250 36.917758 14.567579 -0.920375 -0.000119 -0.000316 -0.005713 0.999984 84 1669000008.651400 37.920472 14.539929 -0.920097 -0.000175 -0.000448 -0.017773 0.999842 85 1669000008.750540 38.367646 14.518621 -0.920156 -0.00017 -0.000429 -0.024019 0.999711 86 1669000008.849760 39.255177 14.460471 -0.920476 -0.000112 -0.000273 -0.036506 0.999333 87 1669000008.948940 40.09654 14.385608 -0.920413 -0.000134 -0.000316 -0.047822 0.998856 88 1669000009.048090 40.83901 14.305904 -0.920719 -0.000066 -0.00015 -0.058367 0.998295 89 1669000009.147230 41.713335 14.19071 -0.91988 -0.000241 -0.00054 -0.066363 0.997795 90 1669000009.246370 42.448479 14.078136 -0.920501 -0.000126 -0.000272 -0.07798 0.

评论收藏

内容反馈