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Mapping Stop and Yield Lines for Autonomous Vehicles

December 11, 2025 by
Mapping Stop and Yield Lines for Autonomous Vehicles
Basit Khan

High-quality HD maps are essential for ADAS development and autonomous driving systems, especially when simulations rely on exact road geometry and traffic logic. One of the most overlooked yet critical elements in creating realistic, simulation-ready maps is accurate road markings.

Many map creation tools rely on limited templates or rigid presets, making it difficult to reproduce real-world markings such as stop lines, buffer islands, turn arrows, or complex channelization.

RepliMap, developed by Automotive Artificial Intelligence (AAI), removes these limitations with a fully customizable road marking system designed for precision and flexibility.

In this article, we explore how RepliMap empowers engineers to create detailed, regulation-accurate road markings and why this capability is essential for ADAS, AV, and simulation pipelines.

Unlimited Freedom: Draw, Adjust, and Style Any Road Marking

RepliMap’s customization engine allows users to go beyond standard templates and create markings that mirror real-world conditions with exceptional accuracy. Engineers can draw, place, and shape markings exactly as they appear in the physical environment, ensuring precise replication for simulation and testing.

Example Use Case Demonstrated in RepliMap

  1. Stop Line Marking (RoadMark type: stopline)
    A correct stop line position is crucial for behavior planning in AV and ADAS simulations.
  2. Detailed Channelization Reconstruction
    Real-world geometry for channelization, buffer islands, and lane arrows is faithfully recreated, enabling correct perception and decision logic.
  3. Fully Adjustable Width and Offsets
    Every marking element can be fine-tuned for width, offset, curve alignment, and placement accuracy.
  4. Markings for Guidance, Segmentation, and Turn Control
    Turn arrows, lane separators, buffer zones, and guide markings are placed exactly where AV systems expect them.

This level of flexibility ensures the HD map is not only visually accurate but functionally correct for downstream simulation tools.

Why Customization Matters in HD Map Creation

1. Accurate Traffic Logic for Scenario Generation

Rule-based simulation engines rely heavily on road markings to determine behavior.

Correct stop lines, arrow directions, and channelization ensure scenario outcomes match real-world logic.

2. Essential for AV Training and Perception Models

Autonomous vehicles interpret road markings as core cues for positioning, turning, and lane changes.

RepliMap helps create maps that reflect the environment AVs will operate in.

3. Supports Local and Regional Road Regulations

Different regions specify unique marking shapes, spacing rules, and arrow designs.

RepliMap enables compliance with geo-specific standards with no restrictions.

4. Critical for L2–L5 Automation Development

As vehicles progress toward higher automation levels, they rely more on map-level detail.

High-fidelity markings ensure AV systems receive the contextual information needed to make correct decisions.

Seamless Integration with OpenDRIVE and Leading Simulation Platforms

RepliMap exports ASAM OpenDRIVE-compliant maps, allowing immediate integration into:

  • IPG Automotive CarMaker
  • MathWorks RoadRunner
  • dSPACE
  • CARLA Simulator
  • Custom in-house simulation pipelines

Custom markings created in RepliMap remain intact and ready for use in perception validation, motion planning tests, sensor simulations, and scenario generation.

RepliMap: Built for Precision in Simulation and ADAS Development

Automotive Artificial Intelligence (AAI) created RepliMap to accelerate HD map production while ensuring accuracy at every level — from roadside assets to the finest road markings.

The ability to design and adjust markings freely gives engineering teams a competitive advantage in building realistic, compliant, and simulation-ready environments.

📬 To request a walkthrough, technical documentation, or sample export files, contact us at [email protected]

Mapping Stop and Yield Lines for Autonomous Vehicles
Basit Khan December 11, 2025
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