Individual skill
matlab-use-scenario-builder
Generate driving scenes, scenarios, road surfaces, and 3D content from scenariobuilder.* sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface extraction, 3D asset generation, static-object placement, point-cloud georeferencing + elevation, lane-based ego localization, sensor-fusion tracking, scenario-event extraction (cut-ins, hard brakes, near-misses, ADAS disengagements), or export to RoadRunner, drivingScenario, OpenDRIVE, OpenCRG, OpenSCENARIO, or Unreal Engine. Also: log-to-scenario, scenario harvesting, accident/near-miss reconstruction, SOTIF (ISO 21448) and ISO 26262 scenario coverage, USGS-aerial-lidar augmentation, traffic-sign placement, vision-based vehicle classification for actor assets. NOT for raw-data import or multi-sensor sync/crop/offset/timestamp normalization — route those to matlab-import-driving-data.
skills-catalog/automotive/matlab-use-scenario-builder/SKILL.md
Source commit 032b4b605999b1f4adecaac1efa1c9faad41adf6
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,275
- Repository last updated
- Nov 5, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- claude-code Repository topic
- codex-plugin Repository topic
- github-copilot Repository topic
- matlab Repository topic
- matlab-mcp-server Repository topic
- engineering-agents Repository topic
- codex Repository topic
- codex-skills Repository topic
- writing Derived category
- data Derived category
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Browse files
SKILL.mdcore · 57,959 bytesSKILL.mdcore · 57,959 bytesSKILL.mdcore · 57,959 bytesmanifest.yamlasset · 704 bytesreferences/actortrackdata-api.mddoc · 3,359 bytesreferences/example-roadrunner-scenario.mddoc · 4,381 bytesreferences/example-scenario-from-gps-and-tracks.mddoc · 9,860 bytesreferences/execution-rules-detail.mddoc · 17,066 bytesreferences/gpsdata-api.mddoc · 2,471 bytesreferences/osm-flat-scene-gotchas.mddoc · 8,970 bytesreferences/per-frame-detections-to-actortrackdata.mddoc · 8,002 bytesreferences/python-spkg-install-troubleshooting.mddoc · 5,889 bytesreferences/trajectory-api.mddoc · 14,057 bytesreferences/visualization-patterns.mddoc · 12,701 bytesreferences/workflow-04-roadrunner-export-detail.mddoc · 33,361 bytesreferences/workflow-07-height-correction.mddoc · 3,391 bytesreferences/workflow-08-lane-localization.mddoc · 40,020 bytesreferences/workflow-09-static-objects.mddoc · 9,558 bytesreferences/workflow-10-road-surface-opencrg.mddoc · 4,841 bytesreferences/workflow-11-point-cloud-georef.mddoc · 4,588 bytesreferences/workflow-12-3d-asset-generation.mddoc · 2,031 bytesreferences/workflow-13-event-extraction.mddoc · 5,386 bytesreferences/workflow-14-sensor-fusion-tracking.mddoc · 7,079 bytesreferences/workflow-15-driving-scenario-designer.mddoc · 7,770 bytesreferences/workflow-16-aerial-lidar-augmentation.mddoc · 14,769 bytesreferences/workflow-17-traffic-signs-from-sensor-data.mddoc · 12,781 bytesreferences/workflow-18-vehicle-classification.mddoc · 13,119 bytesreferences/workflow-19-ego-lane-inference.mddoc · 10,206 bytesscripts/buildBestCropGrid.masset · 5,302 bytesscripts/openFile.masset · 716 bytesscripts/plotActorCircles.masset · 3,604 bytesscripts/plotBEVAndCamera.masset · 4,342 bytes
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