I am also interested in mapping application for Windows mostly because I am not familiar with Ubuntu. However if Ubuntu is the only way can I ask about Livox-mapping the author of this topic is using. Is it as simple as installing Livox mapping package on a pc running ubuntu, connecting ...
Here are 18 public repositories matching this topic... Language:All Sort:Most stars A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR loamlivox-lidar UpdatedFeb 24, 2020 C++ HViktorTsoi/FAST_LIO_LOCALIZATION Star668 Code ...
一. mid40和mid100建图 先看看效果 针对上面的代码编译过程中,driver会遇到找不到的问题,但是没有关系,在livox_mapping项目的目录打开终端,在此终端下source livox_…阅读全文 赞同2 添加评论 分享收藏 标定-livox与相机标定 未来科技 看机器人方向新工作机会! 通用机器人正在飞速进化 参考...
livox_pcl_cbk) : \ nh.subscribe(lid_topic, 200000, standard_pcl_cbk); ……… void ...
Before running the mapping functionality, please make sure the sensor data are published to the correct rostopic. Livox LiDAR: /livox/lidar IMU: /livox/imu GPS: /localization/navstate_info 4.2 Run Mapping Function In one terminal, launch themapping thread ...
Light Weight: The compact and portable Avia weighs just 498 g, making it suitable for drone mapping and small robots. Triple Return: Firmware supports up to triple return in mapping so as to better meet the needs of forestry mapping. Alternative Scanning Patterns: The Avia supports both non-...
3. 点击 Mapping 按钮,等待设备点云完成建图; 4. 选择 Benchmark LiDAR 后,选中的设备外参将被锁定,保证标定时基准设备外参为 0,再逐一对其他各个 Livox 设备完成外参粗校准; 5. 在参数表 V 列中取消勾选可隐藏对应设备点云,仅显示勾选中的设备点云; 6. 粗校准时,选中某一列中一个数据,被选中的设备将...
作者丨黄思渊今天介绍一个最新的SLAM开源算法,作者开源了一套完整易用的、基于固态激光雷达Livox的SLAM系统。为了方便各位感兴趣读者的尝试,作者还提供了相应的Docker镜像文件和测试数据集。开源链接如下:Livox-Mapping: https://github.com/PJLab-ADG/Livox-MappingLivox-Localization: ...
livox_horizon_loam是览沃官网开源的一款软件包,主要应用于低速(~5km/h)感知场景下的应用,通过点云的帧间匹配实现激光雷达的位姿估计,实现了激光里程计(LidarOdometry)和建图(Mapping)。livox_horizon_loam是基于LOAM(LidarOdometry and Mapping in Real-time),与现在主流的激光雷达开源算法LeGO-LOAM ...
(about 80km/h) using a single Livox Horizon.Moreover,it is also robust to dynamic objects, such as cars, bicycles, and pedestrains. It obtains high precision of localization even in traffic jams.The mapping result is precise even most of the FOV is occluded by vehicles.Videos of the ...