Why Guardrails and Barriers Matter in Digital Mapping
In the domains of autonomous vehicles, simulation engineering, and HD mapping, certain elements are not optional—they're mission-critical for safety.
Guardrails and barriers define the limits of the drivable world. They prevent collisions, guide path planning, and represent hard constraints that shape both physical and digital environments. A minor mapping error here can mean simulation drift or real-world danger.
That’s why RepliMap, the next-gen road modeling tool by Automotive Artificial Intelligence (AAI) GmbH, treats these structures with the same precision and rigor as core road geometry.
What RepliMap Captures: More Than Just Shapes
RepliMap doesn’t render barriers as mere textures or visual props. Each object is encoded with real-world accuracy and behavior-defining logic. Here’s what’s embedded into every modeled structure:
✔️ Real-world dimensions: Including height, width, and thickness
✔️ zOffset and orientation: For accurate 3D placement along terrain contours
✔️ Object classification: Such as guardRail, jerseyBarrier, or crashCushion, aligning with international taxonomies
✔️ Repeat logic: Seamless alignment across long stretches, ramps, or curved boundaries
This data is structured and standards-compliant for simulation use—supporting both ASAM OpenDRIVE and Lanelet2 export formats.
Real Applications in AV and Simulation Pipelines
→ Road Boundary Awareness for Autonomous Systems
AVs need to understand where not to drive. RepliMap’s guardrails and barriers act as collision boundaries in the planning and control stack.
→ Crash Scenario Testing and Safety Logic
Whether simulating crash avoidance, lateral deviation, or emergency maneuvers, accurate modeling of roadside infrastructure enables realistic outcomes under test conditions.
→ Structural Realism in Digital Twins
For smart infrastructure or city-scale models, barriers provide visual fidelity and structural ground truth—vital for urban design, validation environments, and advanced driver assistance systems (ADAS).
Compatible with the Tools You Already Use
RepliMap’s barrier data is built for plug-and-play simulation:
✅ ASAM OpenDRIVE for integration into tools like dSPACE or Vires VTD
✅ Lanelet2 for real-time localization and route planning
✅ Simulation-ready for platforms like IPG CarMaker, CARLA, and MathWorks RoadRunner
Whether your workflow is safety testing or virtual driving, RepliMap gives you the right data, in the right structure, at the right resolution.
Every Structure Matters in AV Mapping
At AAI, we map not just the road—but the rules around it. Guardrails and barriers are not decorative—they are embedded rules for safety, compliance, and realism.
With RepliMap, you’re not just drawing boundaries. You’re encoding trust—into every meter of the digital road.
📌 RepliMap is currently in pre-release, supporting pilots across autonomous driving, simulation development, and digital twin initiatives.
📬 For data samples, format support, or pilot discussions, reach out to [email protected]