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Roadrunner Rrhd Authoring

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From the author

Build RoadRunner HD Map entities in MATLAB — lanes, boundaries, markings, junctions, signs, signals, barriers, parking. Use when creating driving scenes from scratch, authoring road networks for simulation and testing automated driving systems, or assembling RRHD maps from Lanelet2 or other HD map sources.
— the description by MathWorks

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The RoadRunner HD Map (RRHD) Authoring skill provides a structured, programmatic approach to constructing high-definition map data within MATLAB. It offers a comprehensive set of building blocks for defining lanes, boundaries, markings, junctions, and other road infrastructure. Designed for both synthetic scene creation and the assembly of maps from external formats like Lanelet2, this skill ensures geometric and topological consistency through mandatory validation gates and standardized construction patterns.

What it does

  • Provides a verified API reference for constructing roadrunner.hdmap.* objects.
  • Implements geometry algorithms for alignment detection, center line synthesis, and junction polygon creation.
  • Enforces spatial and topological integrity through mandatory validation checks before file export.
  • Supports the creation of complex road networks including lanes, barriers, signs, and parking entities.
  • Facilitates the conversion of external map data into the .rrhd format via standardized construction patterns.
  • Includes post-processing routines for boundary deduplication, height conflict resolution, and endpoint snapping.

When to use it

  • When building synthetic driving scenes or test roads from scratch in MATLAB.
  • When assembling RRHD maps from converted data sources like Lanelet2, OpenDRIVE, or custom formats.
  • When you need to ensure map data meets RoadRunner's strict geometric and alignment requirements.
  • When automating the generation of road networks for testing automated driving systems.

Advantages

  • Ensures compatibility with RoadRunner by enforcing strict API and geometry rules.
  • Reduces rendering errors like green-surface artifacts through robust alignment algorithms.
  • Provides reusable, format-agnostic patterns for consistent map construction.
  • Includes built-in validation gates to catch errors before file writing.

Usage examples

“How do I create a basic two-lane road in MATLAB using the RRHD API?”
The agent will provide a script that initializes a roadrunnerHDMap object, defines lane boundaries and lanes, assigns them with correct alignment, and performs the mandatory validation checks before writing the .rrhd file.
“My road boundaries are rendering as green grass. How do I fix this?”
The agent will guide you through the alignment verification process, specifically checking if your boundary alignment is set to 'Forward' or 'Backward' correctly relative to the lane direction, and suggest using the multi-sample spatial verification algorithm.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/matlab/roadrunner-rrhd-authoring/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip roadrunner-rrhd-authoring.zip -d .agents/skills

Documentation by MathWorks

RRHD Authoring Skill

Build RoadRunner HD Map (.rrhd) entities directly using the roadrunnerHDMap API in MATLAB. Provides the generic building blocks for constructing RRHD from any source — synthetic scenes, converted map data, or custom formats.

When to Use

  • Building RRHD maps from scratch (synthetic scenes, test roads)

  • Assembling RRHD entities from converted map data (Lanelet2, HERE, NDS, OpenDRIVE, custom formats)

  • Need reusable geometry algorithms: alignment detection, center line synthesis, junction polygons, endpoint snapping, closed-loop splitting

  • Adding lanes, boundaries, markings, junctions, signs, barriers, or parking to an HD Map

  • Need verified roadrunner.hdmap.* class/property reference and construction patterns

  • Debugging RRHD construction errors (wrong property names, alignment issues)

Role in Map Conversion Pipelines

This skill provides format-agnostic RRHD construction patterns that any converter skill invokes:

Reusable Building BlockReferenceUsed By
Alignment detection (Forward/Backward)alignmentRules.mdAny converter with shared/opposing boundaries
Center line synthesis (resample + average)synthesizeCenterLine.mdAny converter deriving lanes from boundary pairs
Junction polygon constructionjunctionPolygon.mdAny converter inferring junctions from topology
Closed-loop splittingsplitClosedGeometry.md, orthogonalSplit.mdAny converter handling circular/oval roads
Left-gap topology filterleftGapFilter.mdAny converter with node-matched topology
Endpoint snappingsnapEndpoints.mdAny converter with topology connections
Height conflict resolutionresolveHeights.mdAny converter with overlapping lanes
Boundary deduplicationdeduplicateBoundaries.mdAny converter with shared/opposing boundaries from source
RRHD object API patternsapiReference.mdAny code constructing roadrunner.hdmap.* objects
Enforcement gate (validation)validateMap.mdAny converter before write()

Skill Boundaries

This skill owns (format-agnostic RRHD construction):
ResponsibilityDescription
roadrunner.hdmap.* APIClass/property reference, constructor patterns, type rules
Geometry algorithmsAlignment, center line, resampling, orthogonal split, snapping
Junction polygonOuter boundary tracing, boundary(), convhull techniques
Validation/enforcementSpatial checks, alignment verification, geometry dimensions
Entity constructionLanes, boundaries, markings, junctions, barriers, signs, signals, parking
Import optionsroadrunnerHDMapImportOptions, build options, bridge detection
Converter skills own (source-format-specific):
ResponsibilityDescription
Source parsingXML/protobuf/JSON reading, node/way/relation extraction
Coordinate projectionlat/lon → ENU, map_projector_info.yaml, local_x/local_y
Topology extractionNode matching, opposing-direction filter, left-gap filter
Junction detectionBFS clustering from tags, fallback fan-in/fan-out, lane additions
Semantic mappingSource subtypes → RRHD LaneType, marking assets, sign codes
Discovery & completenessScan all elements, report unmapped, enforce nothing is dropped
Decision rule:
  • "How do I build this RRHD object?" → RRHD authoring skill

  • "How do I extract this from my source format?" → Converter skill

When NOT to Use

  • Converting Lanelet2 .osm files — use roadrunner-convert-lanelet2-to-rrhd (which invokes this skill)

  • Looking up asset paths for markings/signs/barriers — use roadrunner-asset-mapping

  • Importing finished .rrhd into RoadRunner — use roadrunner-import-scene

  • Editing an existing RoadRunner scene interactively (this skill writes .rrhd files, not scene edits)

Key Rules

  • Always write to .m files when executing code. Never put multi-line MATLAB code directly in evaluate_matlab_code. Write to a .m file, run with run_matlab_file, edit on error. Exception: if the user asks to "show the pattern" or says "do not execute", show code inline without writing files.

  • Read only the specific reference needed for the task — do not read all references upfront. Use apiReference.md for property lookups, other references only when directly relevant.

  • Only build what the user asked for. Do not add extra lanes, junctions, or objects unless explicitly requested.

  • rrMap = roadrunnerHDMap; must come first — loads the namespace before any roadrunner.hdmap.* usage.

  • Create-then-assign pattern — never pass constructor args (except RelativeAssetPath and AlignedReference).

  • Empty typed arrays — use ClassName.empty not [].

  • All geometry must be Nx3 — always include Z column (default 0 if flat).

  • Run enforcement gate before write() — alignment, spatial, and geometry checks are mandatory.

  • Track maps (closed-loop ovals/circuits): OMIT topology (no Predecessors/Successors), OMIT marking attributes (no ParametricAttribution), OMIT Z bumps. Use natural elevation only. See references/orthogonalSplit.md.

Critical API Rules

You MUST create a roadrunnerHDMap object before using any roadrunner.hdmap.* classes (lazy namespace loading):

rrMap = roadrunnerHDMap;  % REQUIRED — loads the namespace

Create-then-assign pattern — never pass constructor args (except Name=Value for two classes):

ref = roadrunner.hdmap.Reference;
ref.ID = "myID";  % assign after creation

Name=Value constructors — ONLY RelativeAssetPath and AlignedReference accept Name=Value:

rap = roadrunner.hdmap.RelativeAssetPath(AssetPath="Assets/Markings/StopLine.rrlms");
ar = roadrunner.hdmap.AlignedReference(Reference=ref, Alignment="Forward");
% WRONG: positional args error with "A name is expected"

Empty typed arrays — never use [] for typed properties:

lane.Predecessors = roadrunner.hdmap.AlignedReference.empty;  % CORRECT
lane.Predecessors = [];  % WRONG: "Value must be of type AlignedReference"

Verified Property Names (R2025a+)

See references/apiReference.md for the complete verified class/property table. Key gotchas:

Common MistakeCorrect
LeftBoundaryLeftLaneBoundary
RightBoundaryRightLaneBoundary
SpeedValue (int32)
Unit = "KPH"VelocityUnit = "Kph"
ParametricAttribParametricAttribution
pa.Value = mrpa.MarkingReference = mr
pa.StartFraction/EndFractionpa.Span = [0 1] (double array)
JunctionPhase / Phase (direct)Configurations (JunctionConfiguration array with nested .Phases)
roadrunnerHDMap("file.rrhd")rrMap = roadrunnerHDMap; read(rrMap, "file.rrhd")
Nx2 geometryNx3 geometry (always include Z column)
cm.CurveMarkingTypeIDcm.MarkingTypeReference
b.BarrierTypeIDb.BarrierTypeReference
s.SignTypeIDs.SignTypeReference
s.BoundingBoxs.Geometry (takes GeoOrientedBoundingBox)
bb.Positionbb.Center (1x3 double)
bb.Orientationbb.GeoOrientation ([h,p,r] double array)
pg.OuterRingpg.ExteriorRing (Nx3 double)
bt.AssetPathbt.ExtrusionPath (for BarrierType only)
roadrunner.hdmap.GeoOrientationNOT a class — use [h,p,r] double array directly
Lane.Predecessors = []Lane.Predecessors = roadrunner.hdmap.AlignedReference.empty
lb.ParametricAttributes = []Cannot clear — skip assignment for no markings
RelativeAssetPath("path")RelativeAssetPath(AssetPath="path") — Name=Value required
AlignedReference(ref, "Fwd")AlignedReference(Reference=ref, Alignment="Forward")
Junction.Geometry = polygonJunction.Geometry = multiPolygon (wrap in MultiPolygon)
MarkingReference.MarkingID = 5MarkingReference.MarkingID = ref (Reference object, NOT numeric)
SpeedLimit.VelocitySpeedLimit.Value (int32) + .VelocityUnit = "Kph"

Synthetic Scene Construction

Lane Width and Geometry

Standard lane width: 3.7m (US highway). Compute boundary positions by offsetting perpendicular to the lane center line direction.

Shared Boundaries Between Adjacent Lanes

Adjacent lanes MUST share boundary geometry. The right boundary of lane N is the same object as the left boundary of lane N+1. For N lanes, create N+1 boundaries.

  LB_0 (left edge)
  ───────────────────
  │    Lane_1        │  left=LB_0(Fwd), right=LB_1(Fwd)
  ───────────────────
  LB_1 (shared)
  ───────────────────
  │    Lane_2        │  left=LB_1(Fwd), right=LB_2(Fwd)
  ───────────────────
  LB_2 (right edge)
Alignment Rules

See references/alignmentRules.md for complete rules, diagrams, and green-surface debugging.

Alignment specifies how boundary geometry direction relates to lane geometry direction:

  • Same direction → "Forward"

  • Opposite direction → "Backward"

Which algorithm to use:

  • Map conversion (left/right known from source, e.g., Lanelet2 roles) → dp-based approach below

  • Synthetic scenes (left/right must be determined from geometry) → Multi-sample spatial verification in references/alignmentRules.md

Dp-based algorithm (for conversion — left/right already known):

lDir = leftPts(end,:) - leftPts(1,:);
rDir = rightPts(end,:) - rightPts(1,:);
dp = dot(lDir(1:2)/(norm(lDir(1:2))+1e-10), rDir(1:2)/(norm(rDir(1:2))+1e-10));

if dp >= -0.3
    % Normal: both boundaries go same direction
    leftAlign = "Forward"; rightAlign = "Forward";
else
    % Opposing boundaries: use proximity to determine which is backward
    d_ls_re = norm(leftPts(1,1:2) - rightPts(end,1:2));
    d_ls_rs = norm(leftPts(1,1:2) - rightPts(1,1:2));
    if d_ls_re < d_ls_rs
        leftAlign = "Forward"; rightAlign = "Backward";
    else
        leftAlign = "Backward"; rightAlign = "Forward";
    end
end

The -0.3 threshold (not 0) handles lanes with slight boundary curvature that produce small negative dot products but are NOT truly opposing.

Left/Right spatial verification (for synthetic scenes where left/right must be verified):

nSamples = min(5, size(centerGeom,1)-1);
sampleIdx = round(linspace(2, size(centerGeom,1)-1, nSamples));
leftOnLeft = 0;
for si = 1:numel(sampleIdx)
    idx = sampleIdx(si);
    localTan = centerGeom(min(idx+1,end),1:2) - centerGeom(max(idx-1,1),1:2);
    localTan = localTan / norm(localTan);
    localLeftN = [-localTan(2), localTan(1)];
    distsL = vecnorm(leftBndGeom(:,1:2) - centerGeom(idx,1:2), 2, 2);
    [~, closestL] = min(distsL);
    toBndL = leftBndGeom(closestL,1:2) - centerGeom(idx,1:2);
    if dot(toBndL, localLeftN) > 0, leftOnLeft = leftOnLeft + 1; end
end
assert(leftOnLeft >= numel(sampleIdx)/2, ...
    'Left boundary is spatially on the RIGHT — swap boundaries or fix assignment');

Wrong alignment or swapped left/right causes green grass instead of road surface.

Standard Marking Assets
Marking IDAsset Path
SolidSingleWhiteAssets/Markings/SolidSingleWhite.rrlms
DashedSingleWhiteAssets/Markings/DashedSingleWhite.rrlms
SolidDoubleYellowAssets/Markings/SolidDoubleYellow.rrlms
DashedSolidYellowAssets/Markings/DashedSolidYellow.rrlms
SolidDashedYellowAssets/Markings/SolidDashedYellow.rrlms
Multi-Lane Road Recipe
  1. Compute N lane center lines (evenly spaced at laneWidth intervals)

  2. Compute N+1 boundary lines (edges + between each lane pair)

  3. Assign shared boundaries — same-direction: lane i uses left=LB_(i-1), right=LB_i. Opposing-traffic lanes: swap left/right (driver's left is toward the road edge, not the center)

  4. Detect alignment via dot product (boundaries going same direction as lane → Forward, opposite → Backward)

  5. Apply markings (edges: SolidSingleWhite, divider: SolidDoubleYellow, separators: DashedSingleWhite)

  6. Wire topology (if multiple segments, connect with pred/succ)

  7. Assemble map and write

Additional steps for converted maps only (skip for synthetic scenes):

Complete 2-Lane Road Example
rrMap = roadrunnerHDMap;
w = 3.7;

% Lane Markings
lm1 = roadrunner.hdmap.LaneMarking; lm1.ID = "SolidWhite";
rap1 = roadrunner.hdmap.RelativeAssetPath; rap1.AssetPath = "Assets/Markings/SolidSingleWhite.rrlms";
lm1.AssetPath = rap1;
lm2 = roadrunner.hdmap.LaneMarking; lm2.ID = "DashedWhite";
rap2 = roadrunner.hdmap.RelativeAssetPath; rap2.AssetPath = "Assets/Markings/DashedSingleWhite.rrlms";
lm2.AssetPath = rap2;

% Boundaries (3 for 2 lanes)
lb = roadrunner.hdmap.LaneBoundary;
lb(2) = roadrunner.hdmap.LaneBoundary;
lb(3) = roadrunner.hdmap.LaneBoundary;
lb(1).ID = "LB_0"; lb(1).Geometry = [0 w 0; 100 w 0];
lb(2).ID = "LB_1"; lb(2).Geometry = [0 0 0; 100 0 0];
lb(3).ID = "LB_2"; lb(3).Geometry = [0 -w 0; 100 -w 0];

% Markings on boundaries
for i = [1 3]  % solid on edges
    pa = roadrunner.hdmap.ParametricAttribution; pa.Span = [0 1];
    ref = roadrunner.hdmap.Reference; ref.ID = "SolidWhite";
    mr = roadrunner.hdmap.MarkingReference; mr.MarkingID = ref; mr.FlipLaterally = false;
    pa.MarkingReference = mr;
    lb(i).ParametricAttributes = pa;
end
pa = roadrunner.hdmap.ParametricAttribution; pa.Span = [0 1];
ref = roadrunner.hdmap.Reference; ref.ID = "DashedWhite";
mr = roadrunner.hdmap.MarkingReference; mr.MarkingID = ref; mr.FlipLaterally = false;
pa.MarkingReference = mr;
lb(2).ParametricAttributes = pa;

% Lanes
ln = roadrunner.hdmap.Lane;
ln(2) = roadrunner.hdmap.Lane;
ln(1).ID = "Lane_1"; ln(1).Geometry = [0 w/2 0; 100 w/2 0];
ln(1).TravelDirection = "Forward"; ln(1).LaneType = "Driving";
ln(2).ID = "Lane_2"; ln(2).Geometry = [0 -w/2 0; 100 -w/2 0];
ln(2).TravelDirection = "Forward"; ln(2).LaneType = "Driving";

% Assign boundaries with alignment
bndIDs = ["LB_0","LB_1","LB_2"];
for i = 1:2
    arL = roadrunner.hdmap.AlignedReference;
    refL = roadrunner.hdmap.Reference; refL.ID = bndIDs(i);
    arL.Reference = refL; arL.Alignment = "Forward";
    ln(i).LeftLaneBoundary = arL;

    arR = roadrunner.hdmap.AlignedReference;
    refR = roadrunner.hdmap.Reference; refR.ID = bndIDs(i+1);
    arR.Reference = refR; arR.Alignment = "Forward";
    ln(i).RightLaneBoundary = arR;
end

% Assemble and write
rrMap.Lanes = ln;
rrMap.LaneBoundaries = lb;
rrMap.LaneMarkings = [lm1 lm2];
write(rrMap, "two_lane_road.rrhd");

Enforcement Gate (MANDATORY before write())

Run this validation block before writing any multi-lane map. Do NOT skip. If any check FAILS, fix the issue (run the appropriate post-processing step) before proceeding to write().

%% --- ENFORCEMENT: Topology — no excessive connections (left-gap filter applied) ---
lanes = rrMap.Lanes;
nExcessiveJunc = 0;
for i = 1:numel(lanes)
    nConn = numel(lanes(i).Predecessors) + numel(lanes(i).Successors);
    if nConn > 4  % junction lanes should have at most ~4 (multi-lane merge/diverge)
        nExcessiveJunc = nExcessiveJunc + 1;
    end
end
if nExcessiveJunc > 0
    warning('TOPOLOGY WARNING: %d lanes have >4 connections — run left-gap filter (references/leftGapFilter.md)', nExcessiveJunc);
end
fprintf('Topology check: %d lanes with >4 connections\n', nExcessiveJunc);

%% --- ENFORCEMENT: Alignment computed (not all Forward) ---
if numel(lanes) > 2
    nFwd = 0; nBwd = 0;
    for i = 1:numel(lanes)
        if lanes(i).LeftLaneBoundary.Alignment == "Forward", nFwd = nFwd+1;
        else, nBwd = nBwd+1; end
        if lanes(i).RightLaneBoundary.Alignment == "Forward", nFwd = nFwd+1;
        else, nBwd = nBwd+1; end
    end
    assert(nBwd > 0 || numel(lanes) <= 2, ...
        'ALIGNMENT ERROR: All boundaries Forward for %d lanes — compute dot product per lane.', numel(lanes));
    fprintf('Alignment: %d Forward, %d Backward — OK\n', nFwd, nBwd);
end

%% --- ENFORCEMENT: Left boundary spatially on left ---
bnds = rrMap.LaneBoundaries;
bndMap = containers.Map;
for i = 1:numel(bnds), bndMap(bnds(i).ID) = bnds(i).Geometry; end
nBadSide = 0;
for i = 1:numel(lanes)
    lGeom = lanes(i).Geometry;
    lDir = lGeom(end,1:2) - lGeom(1,1:2);
    lDir = lDir / norm(lDir);
    leftN = [-lDir(2), lDir(1)];
    leftBndID = lanes(i).LeftLaneBoundary.Reference.ID;
    if bndMap.isKey(leftBndID)
        leftBndGeom = bndMap(leftBndID);
        toBnd = mean(leftBndGeom(:,1:2)) - mean(lGeom(:,1:2));
        if dot(toBnd, leftN) < 0, nBadSide = nBadSide + 1; end
    end
end
assert(nBadSide == 0, ...
    'SPATIAL ERROR: %d lanes have left boundary on wrong side — fix alignment algorithm.', nBadSide);
fprintf('Spatial left-side check: PASS\n');

%% --- ENFORCEMENT: Geometry is Nx3 ---
bnds = rrMap.LaneBoundaries;
for i = 1:numel(bnds)
    assert(size(bnds(i).Geometry, 2) == 3, ...
        'Boundary %s geometry must be Nx3 (got Nx%d)', bnds(i).ID, size(bnds(i).Geometry,2));
end
fprintf('Geometry dimensions: PASS\n');

%% --- ENFORCEMENT: GeoReference set ---
assert(any(rrMap.GeoReference ~= 0), 'GeoReference is [0,0] — set lat/lon origin');
fprintf('GeoReference: PASS\n');

%% --- ENFORCEMENT: No duplicate boundaries (deduplication applied) ---
bnds = rrMap.LaneBoundaries;
nDupBnd = 0;
for i = 1:numel(bnds)
    for j = i+1:numel(bnds)
        g1 = bnds(i).Geometry; g2 = bnds(j).Geometry;
        if size(g1,1) ~= size(g2,1), continue; end
        if max(vecnorm(g1 - flipud(g2), 2, 2)) < 0.001
            nDupBnd = nDupBnd + 1; break;
        end
    end
    if nDupBnd > 5, break; end  % early exit for performance
end
if nDupBnd > 0
    warning('DEDUP WARNING: Found reversed-duplicate boundaries — run deduplicateBoundaries (references/deduplicateBoundaries.md)');
end
fprintf('Boundary deduplication check: %d duplicates found\n', nDupBnd);

Post-Processing (MANDATORY — execute in order before write())

Left-Gap Topology Filter (MANDATORY for converted maps)

Removes false predecessor/successor connections caused by shared boundary endpoint nodes. For each lane with multiple successors (or predecessors), computes left boundary gap — if any connection has gap < 3m and others > 3m, removes the far ones. Without this, junction lanes get 2-4x too many connections. See references/leftGapFilter.md.

Endpoint Snapping

For connected lanes (pred/succ), snap successor start to predecessor end. See scripts/snapConnectedEndpoints.m and references/snapEndpoints.md.

Height Conflict Resolution

Overlapping unconnected lanes at the same Z cause grass artifacts. Use graph coloring to assign Z-levels. See scripts/resolveHeightConflicts.m and references/resolveHeights.md.

Boundary Deduplication (MANDATORY for converted maps)

When building from source formats that assign separate boundary objects to opposing lanes (Lanelet2, HERE, NDS, etc.), scan all boundary pairs for identical geometry (forward or reversed within 1mm tolerance). Merge duplicates and update lane references with flipped alignment. Without this step, shared boundaries render doubled markings. See references/deduplicateBoundaries.md.

Additional Entity Types

For all entity classes (Signs, Signals, Barriers, Parking, CurveMarkings, StencilMarkings, StaticObjects, LaneGroups), see the class/property table in references/apiReference.md. Key references by task:

Key Functions

FunctionPurpose
roadrunnerHDMapCreate HD Map object (loads namespace)
read(rrMap, file)Read existing .rrhd file
write(rrMap, file)Write HD Map to .rrhd file
roadrunner.hdmap.LaneLane entity (Geometry, TravelDirection, LaneType)
roadrunner.hdmap.LaneBoundaryBoundary entity (Geometry, ParametricAttributes)
roadrunner.hdmap.LaneMarkingMarking definition (ID, AssetPath)
roadrunner.hdmap.JunctionJunction area (Geometry as MultiPolygon)
roadrunner.hdmap.AlignedReferenceReference with alignment (Name=Value constructor)
roadrunner.hdmap.RelativeAssetPathAsset path wrapper (Name=Value constructor)
roadrunner.hdmap.ParametricAttributionMarking placement (Span, MarkingReference)

Known Limitations

  • SignalTypes/Signals survive RRHD write/read in MATLAB, but RoadRunner silently ignores them on scene import — signals will not appear in the RoadRunner scene

  • RoadRunner cannot render self-closing lanes — split using N-way orthogonal algorithm (see references/orthogonalSplit.md)

  • Geometry must always be Nx3 (include Z=0 if flat)

  • For track maps (closed-loop ovals): omit topology (Predecessors/Successors), Z bumps, and marking attributes (ParametricAttribution) — see orthogonalSplit.md Track-Specific Guidance

Conventions

  • Always use create-then-assign pattern for roadrunner.hdmap.* objects

  • Use RelativeAssetPath(AssetPath="...") and AlignedReference(Reference=ref, Alignment="...") — Name=Value only

  • Use ClassName.empty for empty typed arrays, never []

  • All geometry is Nx3 with Z column (default 0 for flat terrain)

  • Shared boundaries: one object per way, multiple lanes reference with different alignments


Copyright 2026 The MathWorks, Inc.

Files

references/junctionPolygon.md

Junction Polygon Construction

Computes a junction polygon by tracing the outer boundary geometry of junction lanes. Reusable for both Lanelet2 conversion and from-scratch RRHD authoring.

When to Use

  • Building junction polygons from a set of junction lane boundaries

  • Converting Lanelet2 maps with turn_direction tags

  • Authoring RRHD from scratch where junction areas need explicit polygons

Algorithm: Trace Outer Boundary Geometry

The junction polygon must follow the actual boundary polylines — straight where boundaries are straight, curved where boundaries curve naturally. It must NOT use point-cloud hulls (boundary(), convhull) or spline smoothing.

Step 1: Identify Outer Boundaries

Count how many times each boundary is referenced within the junction cluster. Outer boundaries are referenced exactly ONCE. Internal shared boundaries (referenced by 2+ junction lanes) are lane dividers inside the junction and must be excluded.

bndWayCount = containers.Map('KeyType','char','ValueType','double');
for j = 1:numel(junctionLaneIndices)
    leftBndID = getLeftBoundaryID(junctionLaneIndices(j));
    rightBndID = getRightBoundaryID(junctionLaneIndices(j));
    if bndWayCount.isKey(leftBndID), bndWayCount(leftBndID) = bndWayCount(leftBndID)+1;
    else, bndWayCount(leftBndID) = 1; end
    if bndWayCount.isKey(rightBndID), bndWayCount(rightBndID) = bndWayCount(rightBndID)+1;
    else, bndWayCount(rightBndID) = 1; end
end

% Collect outer boundary polylines (count == 1)
outerSegs = {};
bndKeys = bndWayCount.keys;
for b = 1:numel(bndKeys)
    if bndWayCount(bndKeys{b}) == 1
        outerSegs{end+1} = getBoundaryGeometry(bndKeys{b});  % Nx2 polyline
    end
end
Step 2: Chain Segments into Connected Perimeter

Order outer boundary segments by greedy nearest-endpoint chaining. Flip segments when the end point is closer than the start point. This produces a single closed polyline that traces the junction perimeter exactly.

nSegs = numel(outerSegs);
used = false(1, nSegs);
used(1) = true;
orderedPts = outerSegs{1};

for iter = 1:nSegs-1
    currentEnd = orderedPts(end,:);
    bestDist = inf; bestIdx = 0; bestFlip = false;

    for s = 1:nSegs
        if used(s), continue; end
        seg = outerSegs{s};
        dStart = norm(currentEnd - seg(1,:));
        dEnd = norm(currentEnd - seg(end,:));
        if dStart < bestDist
            bestDist = dStart; bestIdx = s; bestFlip = false;
        end
        if dEnd < bestDist
            bestDist = dEnd; bestIdx = s; bestFlip = true;
        end
    end

    if bestIdx == 0, break; end
    used(bestIdx) = true;
    seg = outerSegs{bestIdx};
    if bestFlip, seg = flipud(seg); end

    % Append (skip first point if close to current end to avoid duplicate)
    if norm(seg(1,:) - currentEnd) < 0.2
        orderedPts = [orderedPts; seg(2:end,:)];
    else
        orderedPts = [orderedPts; seg];
    end
end

% Close the polygon
if norm(orderedPts(1,:) - orderedPts(end,:)) > 0.1
    orderedPts = [orderedPts; orderedPts(1,:)];
end

meanZ = computeMeanZFromLanes();
polygonPts3D = [orderedPts, ones(size(orderedPts,1),1)*meanZ];
Step 3: Assign to Junction Object
jObj = roadrunner.hdmap.Junction;
jObj.ID = junctionID;
pg = roadrunner.hdmap.Polygon;
pg.ExteriorRing = polygonPts3D;  % Nx3
mp = roadrunner.hdmap.MultiPolygon;
mp.Polygons = pg;
jObj.Geometry = mp;

Critical Rules

RuleRationale
Use ONLY outer boundaries (count == 1)Internal shared boundaries cause polygon to shrink at straight-through lanes
Trace actual polyline geometryPreserves straight edges as straight, curves as natural curves
Greedy nearest-endpoint chainingOrders segments into a connected perimeter without distortion
Prefer outer boundary chaining over boundary()/convhullPoint-cloud hulls produce artificial shapes that don't follow actual road geometry
Do NOT use spline smoothingAdds artificial curves where edges should be straight
Endpoint chaining tolerance = 0.2mSkip duplicate junction points when connecting adjacent segments

Alternative: boundary() with Shrink Factor (Lanelet2 Conversion)

For Lanelet2 conversion where junctions are inferred from turn_direction clustering, boundary(pts(:,1), pts(:,2), 0.7) is an acceptable alternative when outer boundary chaining is impractical (e.g., short junction lanes where boundaries don't form a clean perimeter). This produces good curved polygons for most intersections.

When to use convhull instead: If boundary(0.7) creates concave indentations that visually exclude junction lanes (common for small 2-3 lane junctions with non-turn-direction lanes added), use convhull for those specific junctions while keeping boundary(0.7) for the rest.

% Default: boundary(0.7) for curved polygons
k = boundary(allJuncPts(:,1), allJuncPts(:,2), 0.7);
chain = allJuncPts(k,:);

% Specific junctions needing full coverage: convhull
k = convhull(allJuncPts(:,1), allJuncPts(:,2));
chain = allJuncPts(k,:);

Common Failures

SymptomRoot CauseFix
Polygon pinches at straight lanesUsed boundary() with high shrinkReduce shrink or use convhull for that junction
Straight edges cutting across curvesUsed convhull globallyUse boundary(0.7) for most, convhull selectively
Artificial curves at straight edgesApplied spline smoothingUse raw boundary geometry — no smoothing
Polygon inside/smaller than lanesIncluded internal shared boundariesUse only outer boundaries (count == 1)
Giant polygon spanning 200m+Cluster threshold too large (30m)Reduce to 8m for BFS clustering
Disconnected polygonChaining tolerance too tightUse 0.2m tolerance for endpoint matching
Junction doesn't cover all lanesOnly used turn_direction lanes for polygonInclude non-turn lanes at junction nodes

Why Outer-Only Boundaries?

Internal boundaries (shared between two junction lanes) are lane dividers INSIDE the junction. Including them in polygon construction causes:

  • Polygon shrinkage where straight-through lanes extend beyond turning lanes

  • The polygon cuts inward to follow internal dividers instead of the junction perimeter

By using only boundaries referenced once (the exterior perimeter), the polygon naturally encompasses all junction lanes from the outside.

Typical Results

Intersection TypeLanesOuter SegmentsPolygon Points
Small T-intersection5-66~76-87
Standard 4-way1212-24~150-285
Oversized (BAD)22+—Reduce cluster threshold

Copyright 2026 The MathWorks, Inc.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

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Attribution and licence

Created by
MathWorks
Publisher
MathWorks (Official)
Source
matlab/matlab-agentic-toolkit · skills-catalog/automotive/roadrunner-rrhd-authoring · commit 2a7f215
Licence
BSD 2-Clause License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE.md)
  • ATTRIBUTION.md (written by AutoGineer)
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