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lidar-perception

激光雷达感知 — 点云处理、地面分割、障碍物检测、聚类,支持速腾/禾赛/velodyne/Ouster 等常见激光雷达

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name lidar-perception description 激光雷达感知 — 点云处理、地面分割、障碍物检测、聚类,支持速腾/禾赛/velodyne/Ouster 等常见激光雷达 argument-hint 激光雷达 OR lidar OR 点云 OR pointcloud OR PCL OR 障碍物检测 OR 地面分割 OR segmentation user-invocable true lidar-perception — 激光雷达感知 SKILL 引用技能 agents/skills/perception/sensor-fusion/ agents/skills/ros2-debug/ 点云处理流程 原始点云 (PointCloud2) │ ├── 降采样 (VoxelGrid) — 减少计算量 ├── 地面分割 (RANSAC/GND) — 分离地面和非地面 ├── 聚类 (Euclidean/DBSCAN) — 障碍物分组 └── 分类 (ML/规则) — 行人/车/障碍 ROS2 点云处理 // 订阅点云 auto sub = this -> create_subscription <sensor_msgs::msg::PointCloud2>( "/scan" , QoS ( 10 ). best_effort (), // sensor 数据用 BEST_EFFORT std:: bind (&LidarNode::callback, this , std::placeholders::_1)); // PCL 处理 pcl::VoxelGrid<pcl::PointXYZ> vg; vg. setInputCloud (pcl_cloud); vg. setLeafSize ( 0.1f , 0.1f , 0.1f ); vg. filter (*filtered_cloud); 地面分割 // RANSAC 地面检测 pcl::SACSegmentation<pcl::PointXYZ> seg; seg. setModelType (pcl::SACMODEL_PLANE); seg. setMethodType (pcl::SAC_RANSAC); seg. setDistanceThreshold ( 0.03 ); // 3cm seg. setInputCloud (cloud); seg. segment (inliers, coefficients); QoS 规则 激光雷达 必须用 BEST_EFFORT (高频数据,丢帧可接受)。 禁止 ❌ 点云用 RELIABLE(延迟累积,实时性差) ❌ 不做降采样直接处理(计算量爆炸) ❌ 不设置最大距离过滤(远处噪声影响大)
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
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.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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