本文へ移動
cccskills
無料GitHub で公開

matlab-use-ncap-protocol

Generate Euro NCAP test scenarios and variants using the ADT Euro NCAP support package. Use when creating NCAP seed scenarios, generating variants, translating between drivingScenario and RoadRunner, plotting scenario descriptors, computing NCAP scores, or exporting reports. Triggers on: ncapScenario, euroAssessment, getScenario, getScenarioDescriptor, generateVariants, ScenarioDescriptor, ScenarioDescriptorPlot, ncapScore, ncapReport, exportReport, configureVUT, assessmentTable, Euro NCAP, CCRs, CCRm, CCRb, CCFtap, CCCscp, CPNA, CPFA, CBNA, variant generation.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md14.3 KB
  • manifest.yaml458 B
  • references/export-options.md3.0 KB
  • references/ncap-test-names.md4.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Generate Euro NCAP Variants

Create Euro NCAP seed scenarios, generate variants, translate between simulators, plot descriptors, and compute scores using the ADT Euro NCAP support package APIs.

When to Use

  • Creating Euro NCAP seed scenarios (any protocol year)
  • Generating scenario variants from seeds
  • Translating scenarios between drivingScenario and RoadRunner via descriptors
  • Plotting scenario descriptors (single or multi-descriptor grids)
  • Computing NCAP scores and generating/exporting reports
  • Any workflow mentioning Euro NCAP test names (CCRs, CCFtap, CCCscp, CPNA, etc.)

When NOT to Use

  • Building custom drivingScenario from scratch (roads, lanes, actors) — use drivingScenario core APIs directly
  • RoadRunner scene/project management (creating projects, importing assets) — use RoadRunner scene APIs
  • Custom variationProperties for non-NCAP scenarios
  • Simulink co-simulation or AEB test bench setup

Decision Tree: Which API Path?

User wants Euro NCAP scenarios?
│
├─ Protocol year 2023 (or unspecified)?
│   └─ Use standalone: ncapScenario("SA AEB CCFtap")
│      - Test names use prefix: "SA AEB", "SA LSS", "VRU AEB", "VRU LSS"
│      - Supports ShowProgress name-value
│      - Returns ScenarioDescriptor
│
└─ Protocol year 2026?
    └─ Use euroAssessment path:
       1. ea = euroAssessment(2026)
       2. configureVUT(ea, ...) — if custom VUT needed
       3. descriptor = ncapScenario(ea, "CA FC CCFtap")
       - Test names use prefix: "CA FC"
       - Does NOT support ShowProgress
       - Required for scoring/reporting workflow

Key Functions

FunctionPurposeAvailable From
ncapScenarioGenerate seed descriptor(s) from test nameR2024a
euroAssessmentStore 2026 protocol specs and scoresR2025a
configureVUTSet StabilizationTime, AssetPath on euroAssessmentR2026a
getScenarioConvert descriptor → drivingScenario or RoadRunnerR2022b
getScenarioDescriptorExtract descriptor from existing drivingScenarioR2022b
generateVariantsGenerate variant descriptors from seed + variationPropertiesR2023a
plot (ScenarioDescriptor)Plot descriptor(s), returns ScenarioDescriptorPlotR2026a
configure (ScenarioDescriptorPlot)Set GridSize, Title, SubPlotTitles, CropTypeR2026a
assessmentTableCreate empty assessment table for a testR2025a
ncapScoreCompute score from assessment table (returns struct)R2025a
ncapReportGenerate visual report figureR2025a
exportReportExport report to PDF/PNG/JPG fileR2026a
table2scenarioCreate ScenarioDescriptor from tabular data (sceneSpec, actorSpec, eventSpec)R2024a
exportScenario (roadrunner)Export from RoadRunner to OpenSCENARIOR2022a

Pattern: Seed-Only Generation

Use when you need just the seed scenario (1 descriptor), not all variants.

% 2023 standalone — single seed
descriptor = ncapScenario("SA AEB CCFtap");

% 2026 via euroAssessment — single seed
ea = euroAssessment(2026);
descriptor = ncapScenario(ea, "CA FC CCFtap");

AllScenarios=true generates the seed AND all protocol-defined variants. Do NOT use it when only the seed is requested.

Output arguments: The two-output form [descriptors, scenarioInfo] = ncapScenario(...) requires AllScenarios=true. Without it, only one output is allowed — requesting two outputs errors with "Too many output arguments".

Pattern: All Variants Generation

Use when the user wants all test variants for a given scenario.

% 2023 — all variants with progress
[descriptors, scenarioInfo] = ncapScenario("SA AEB CCCscp", AllScenarios=true);

% 2026 — all variants
ea = euroAssessment(2026);
[descriptors, scenarioInfo] = ncapScenario(ea, "CA FC CCCscp", AllScenarios=true);

Pattern: ShowProgress

The ShowProgress name-value controls built-in progress display during generation.

% Show command-line progress (default behavior)
descriptor = ncapScenario("SA AEB CCRs", ShowProgress="CommandLine");

% Suppress progress
descriptor = ncapScenario("SA AEB CCRs", ShowProgress="No");

Important: ShowProgress is only supported on the standalone ncapScenario(testName) call. It is NOT supported when using the euroAssessment overload ncapScenario(ea, testName).

When the user asks to "show progress" or "display progress", use ShowProgress="CommandLine" (or omit it since it's the default). Do NOT set ShowProgress="No" and then implement manual fprintf progress.

Pattern: DSD ↔ RoadRunner Translation

Use getScenario to translate a descriptor to either simulator. Never export to OpenSCENARIO and re-import as a translation method.

% Descriptor → drivingScenario
ds = getScenario(descriptor, Simulator="DrivingScenario");

% Descriptor → RoadRunner (requires active RoadRunner instance)
rrApp = roadrunner("C:/path/to/project");
rrScen = getScenario(descriptor, Simulator="RoadRunner", SimulatorInstance=rrApp);

Key rules:

  • getScenario requires Name-Value syntax. Simulator must be specified as a Name-Value pair, not a positional argument.
  • With Simulator="DrivingScenario": accepts an array of descriptors and returns an array of drivingScenario objects.
  • With Simulator="RoadRunner": accepts only a single descriptor per call — returns one Simulink.ScenarioSimulation object. Passing an array errors with "Too many input arguments". Loop over descriptors individually for batch RoadRunner translation.

Pattern: ScenarioDescriptorPlot

Configure options

PropertyValuesNotes
GridSize[rows cols], max product = 20Error if > 20 subplots
TitlestringFigure title
SubPlotTitlesstring arrayMust match descriptor count exactly
CropType"None", "GlobalWaypoint", "DynamicWaypoint", "RuntimeActorsCrop"Controls plot cropping

Single or small array (≤20 descriptors)

sdp = plot(descriptors);
configure(sdp, Title="My Scenarios", GridSize=[3 4], ...
    SubPlotTitles=["Variant 1", "Variant 2", "Variant 3"]);

Large array (>20 descriptors)

ScenarioDescriptorPlot supports a maximum of 20 subplots per figure via GridSize. For larger arrays, split across multiple calls:

% Plot first 20
sdp1 = plot(descriptors(1:20));
configure(sdp1, Title="Variants 1-20", GridSize=[4 5]);

% Plot remaining
sdp2 = plot(descriptors(21:end));
configure(sdp2, Title="Variants 21-30", GridSize=[2 5]);

Play/seek for animation

sdp = plot(descriptor);
play(sdp);          % Animate the scenario
seek(sdp, 2.5);    % Jump to t=2.5s
close(sdp);        % Close figure

Pattern: 2026 Full Pipeline (Score + Report)

% 1. Create assessment object
ea = euroAssessment(2026);

% 2. Configure VUT (optional)
configureVUT(ea, StabilizationTime=2, AssetPath="Vehicles/SK_SUV.fbx");

% 3. Generate all variants
[descriptors, scenarioInfo] = ncapScenario(ea, "CA FC CCFtap", AllScenarios=true);

% 4. Create assessment table and populate results
% Column names are test-dependent — inspect with at.Properties.VariableNames
% Common columns: ImpactVelocity (CCFtap, CCCscp) or RelativeImpactVelocity (CCRs, CCRm, CCRb)
at = assessmentTable(ea, "CA FC CCFtap");
at.ImpactVelocity = zeros(height(at), 1);  % Replace with actual sim results

% 5. Compute score (returns struct, not scalar)
[score, updatedTable] = ncapScore(ea, "CA FC CCFtap", at);
fprintf("Total score: %.2f / %.2f\n", score.AggregateScore.Total, score.AvailableScore.Total);

% 6. Generate report figure
fig = ncapReport(ea, "CA FC CCFtap");

% 7. Export report to file
exportReport(ea, "CA FC CCFtap", "ncap_report.pdf");

Pattern: table2scenario (Custom Descriptors from Tables)

Use table2scenario to create a ScenarioDescriptor from user-defined tabular data. This is the programmatic entry point when you have scenario parameters in table form rather than using the predefined NCAP test definitions.

% Scene: straight road, 100m
sceneSpec = table(1, {'Straight'}, 100, 0, NaN, ...
    VariableNames=["RoadElementID", "RoadElementType", "Length_Radius", ...
                   "DeltaHeading", "ParentIntersectionID"]);

% Actor: one car (Ego) on road 1, lane 1
actorSpec = table(1, 1, 1, {'Car'}, {'Ego'}, ...
    {'4.7, 1.8, 1.4, 0.5, 0.9, 2.8'}, {'Along'}, {'10%, 50%'}, ...
    VariableNames=["ActorID", "RoadID", "LaneID", "ActorType", ...
                   "ActorName", "Dimension", "Heading", "RelativePosition"]);

% Event: fixed velocity start at 15 m/s
eventSpec = table(1, 1, {'FixedVelocityStart'}, 15, NaN, NaN, ...
    VariableNames=["EventID", "ActorID", "EventType", "Speed", ...
                   "Distance", "EventTrigger"]);

descriptor = table2scenario(sceneSpec, actorSpec, eventSpec);

Key rules:

  • sceneSpec columns: RoadElementID, RoadElementType, Length_Radius, DeltaHeading, ParentIntersectionID
  • actorSpec columns: ActorID, RoadID, LaneID, ActorType, ActorName, Dimension, Heading, RelativePosition
  • eventSpec columns: EventID, ActorID, EventType, Speed, Distance, EventTrigger
  • Returns a ScenarioDescriptor — same type as ncapScenario output
  • The returned descriptor works with all downstream APIs: getScenario, plot, generateVariants
  • Used internally by the NCAP pipeline; users can call it directly for custom (non-NCAP) scenarios

Pattern: OpenSCENARIO Export with Rear Axle

% Configure export options
opts = openScenarioXMLExportOptions(RelocateVehicleOrigin=true);

% Export from RoadRunner
exportScenario(rrApp, "output.xosc", "OpenSCENARIO XML", opts);

See references/export-options.md for full export configuration details.

Test Name Conventions

Critical: Euro NCAP test names must be specified in full. Short names like "CCFtap" or "CCCscp" are NOT valid.

ProtocolPrefix PatternExample
2023 standalone"SA AEB ...", "SA LSS ...", "VRU AEB ...", "VRU LSS ...""SA AEB CCFtap"
2026 euroAssessment"CA FC ...""CA FC CCFtap"

The short code (e.g., CCFtap, CCCscp, CCRs) is always the LAST part of the full name.

See references/ncap-test-names.md for the complete lookup table of all valid test names.

Common Mistakes

MistakeWhy It's WrongCorrect Approach
ncapScenario("CCFtap")Short names are not validncapScenario("SA AEB CCFtap")
ncapScenario("SA AEB CCFtap") for 2026Wrong prefix for 2026 protocolncapScenario(ea, "CA FC CCFtap") with ea = euroAssessment(2026)
getScenario(d, "RoadRunner")Positional arg not supportedgetScenario(d, Simulator="RoadRunner", SimulatorInstance=rrApp)
Setting ShowProgress="No" then using fprintfDefeats built-in progressOmit ShowProgress (default is "CommandLine") or set ShowProgress="CommandLine"
Using AllScenarios=true for seed-onlyGenerates all variants unnecessarilyOmit AllScenarios for seed only
DSD export → OpenSCENARIO → importScenario for RRRoundabout, breaks pedestriansgetScenario(d, Simulator="RoadRunner", SimulatorInstance=rrApp)
Inventing VUTType or NcapYear paramsThese don't existUse configureVUT(ea, AssetPath=...) and euroAssessment(2026)
ShowProgress with euroAssessment overloadNot supported on that overloadOnly use with standalone ncapScenario(testName)
[d, info] = ncapScenario(ea, name) without AllScenarios"Too many output arguments" errorUse single output for seed, or add AllScenarios=true for two outputs
configureVUT called AFTER ncapScenarioSilently has no effect — config not appliedAlways call configureVUT BEFORE ncapScenario
SubPlotTitles count ≠ descriptor count"Invalid size of subplot titles" errorProvide exactly one title per descriptor
CropType="tight" or other invented valuesInvalid value errorUse: "None", "GlobalWaypoint", "DynamicWaypoint", or "RuntimeActorsCrop"
plot(descriptors) with GridSize > [4 5]Max 20 subplots per figureSplit array into chunks of ≤20
fprintf("%.2f", score) after ncapScorescore is a struct, not scalarAccess score.AggregateScore.Total for the numeric value
exportReport(ea, name, "report.html")HTML not supportedUse .pdf, .png, or .jpg extension
at.ImpactVelocity = ... for CCRs/CCRm/CCRb testsColumn is RelativeImpactVelocity, not ImpactVelocityCheck at.Properties.VariableNames after assessmentTable — use the actual column name
getScenario(descriptors, Simulator="RoadRunner", ...) with arrayRoadRunner only accepts one descriptor at a timeLoop: for i=1:numel(descriptors), getScenario(descriptors(i), ...); end

Conventions

  • Always use full test names — never abbreviate
  • Use euroAssessment(2026) for any 2026-protocol workflow (scoring, reporting, configureVUT)
  • Use standalone ncapScenario(testName) for simple 2023 generation without scoring
  • Use getScenario for ALL simulator translations — never export+reimport
  • Use exportReport (R2026a) for file export — do not write custom report export code
  • Use exportScenario (roadrunner method) for OpenSCENARIO export from RoadRunner
  • Set RelocateVehicleOrigin=true in export options when rear axle reference is needed

Required Toolboxes

  • Automated Driving Toolbox (R2026a)
  • Automated Driving Toolbox Test Suite for Euro NCAP Protocols (support package, R2024a+)

Copyright 2026 The MathWorks, Inc.


レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Guide for accessing financial and economic data in MATLAB using the Datafeed Toolbox. Covers Bloomberg (market data via bloomberg/blp/bloombergHypermedia), FRED (Federal Reserve economic data via fredrs), Haver Analytics (economic data via haver/haverdirect/haverview), and LSEG Datastream (historical data via datastreamws). Use when connecting to any of these data providers from MATLAB.

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

Read BEFORE writing any code that adds Additive White Gaussian Noise (AWGN) to signals and converts between SNR, Eb/No, Es/No, and per-subcarrier SNR for communications simulations, using awgn(), convertSNR(), berawgn(). The default MATLAB patterns for AWGN (e.g., 'measured' option, manual SNR formulas) produce subtly incorrect results. This skill specifies the correct calling conventions, required function usage, and critical anti-patterns that must be avoided.

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

Analyze AMS waveform data using Mixed-Signal Blockset utilities: phase noise measurement, clock jitter, anti-aliased resampling, timing measurements, lock time, INL/DNL, ADC/DAC calibration, HSpice import. Use when analyzing time-domain voltage from PLL/VCO/clock simulations, measuring phase noise from variable-step solver output, computing jitter, or resampling non-uniform data.

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

Design and analyze electrically large antenna structures using MATLAB Antenna Toolbox. Covers reflector antennas (parabolic, Cassegrain, Gregorian, offset, corner, cylindrical, spherical, custom STL), reflectarrays and reconfigurable intelligent surfaces (RIS), antennas installed on platforms (vehicles, aircraft, ships, satellites), and radar cross section (RCS) analysis. Includes solver selection (MoM-PO, PO, MoM, FMM), mesh control, and GPU acceleration. Use when the user wants to design a dish/reflector antenna, reflectarray, analyze an antenna on a platform, or compute RCS.

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

Analyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, row filtering, sorting, cleaning, transforming, aggregating, smoothing, padding, trimming, and answering questions about data. MATLAB provides extensive, easy-to-use built-in functions for these workflows with no additional products required.

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

S-parameters, insertion loss, fields, currents, mesh control, and solver selection for RF PCB performance validation. TRIGGER: user asks to compute S-parameters, analyze insertion/return loss, extract fields or currents, compare MoM vs FEM, or control mesh for any RF PCB component. Invoke BEFORE writing sparameters() or solver code — API is non-obvious. SKIP: designing or creating components (use the specific matlab-design-pcb-* skill), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn).

日本語の概要は準備中です。原文の説明を表示しています。

matlab/matlab-agentic-toolkit1,1512026年10月9日 更新

matlab のスキルをすべて見る

このスキルの問題を報告する