matlab-import-tracking-data
Import raw data (CSV, XLSX, TXT, or MATLAB tables) into formats used by Sensor Fusion and Tracking Toolbox. Handles both ground truth trajectories and sensor detection data. For truth: builds trackingScenarioRecording, tuning timetable, truthlog, or converted table. For sensor data: builds task-oriented dataFormat structs (preferred) or objectDetection arrays (legacy). Use when importing flight logs, GPS logs, radar detections, IR measurements, lidar/camera bounding boxes, ADS-B data, AIS ship tracks, or any recorded data for use with trackers, filter tuning, or tracker evaluation.
npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-tracking-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Tracking Data Import Import raw data into MATLAB for use with Sensor Fusion and Tracking Toolbox. Handles ground truth trajectories and sensor detection data. Writes plain MATLAB code. ## When to Use - User has recorded trajectory/position data and wants to replay, tune filters, or evaluate trackers - User has sensor measurements (radar, IR, lidar, camera, sonar) and wants to feed them to a tracker - User mentions flight logs, GPS logs, ADS-B, AIS, radar recordings, lidar point clouds, camera detections - User asks about `trackingDataImporter`, `objectDetection`, `trackerSensorSpec`, `dataFormat`, or importing data for trackers ## When NOT to Use - User is generating synthetic scenarios from scratch (use `trackingScenario`) - User already has data in the correct SFTT format - User needs to design a tracker or write tracking algorithms (use the multi-object-tracking skill) - User is working with raw signal processing (waveform design, range-Doppler maps) --- ## Routing: What Kind of Data? ### Step 1: Determine data type Ask: "What kind of data are you importing?" | User's data | Route | |---|---| | Recorded positions/trajectories (truth, GPS, flight logs) | **Truth pathway** | | S
- When to Use
- When NOT to Use
- Routing: What Kind of Data?
- Step 1: Determine data type
- Step 2 (sensor data only): Identify sensor type and target application
- Truth Pathway
- Step 1: Ask the User (2 questions only)
- Step 2: Inspect the Data
- Step 3: Propose Mapping — Let User Confirm/Edit
- Step 4: Ask About Output Frame (geo data only)
- Step 5: Generate and Run Code
- Step 6: Visualize
- Sensor Pathway: Task-Oriented (Preferred)
- Step 1: Select sensor spec
What does the matlab-import-tracking-data skill do?
Import raw data (CSV, XLSX, TXT, or MATLAB tables) into formats used by Sensor Fusion and Tracking Toolbox. Handles both ground truth trajectories and sensor detection data. For truth: builds trackingScenarioRecording, tuning timetable, truthlog, or converted table. For sensor data: builds task-oriented dataFormat structs (preferred) or objectDetection arrays (legacy). Use when importing flight logs, GPS logs, radar detections, IR measurements, lidar/camera bounding boxes, ADS-B data, AIS ship tracks, or any recorded data for use with trackers, filter tuning, or tracker evaluation.
How do I install it?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-tracking-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.