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Real-world traffic scenarios for ADAS & AD validation

Every road user is a potential ego vehicle.

ADSS turns continuous roadside camera video into classified, simulation-ready traffic scenarios — thousands per hour from a single observation point, delivered in ASAM OpenSCENARIO and OpenDRIVE.

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Illustration: top-down view of an intersection seen by a roadside camera. Every road user — cars, a truck, a cyclist and a pedestrian — has a bounding box and a trajectory. One car, turning left across oncoming traffic, is highlighted as the ego vehicle. CAR TRUCK BIKE PED EGO

The problem

More synthetic scenarios will not close the evidence gap.

  • Synthetic scenarios drift from reality.

    Generation gives you scale and variation, but frequencies, parameter distributions and relevance can disconnect from what actually happens on real roads.

  • Vehicle sensors miss the interaction.

    Ego-mounted perception is excellent for the ego — and blind to everything occluded around it.

  • Simulated traffic is too polite.

    Rule-based NPCs do not reproduce human latency, yielding or unpredictable braking.

The solution

Real traffic, turned into evidence.

One static camera. Six steps. A searchable scenario database instead of a folder of video files.

  1. Camera stream

    Live video from crossings and highways, 24/7.

  2. Tracking

    Every road user detected, classified and tracked.

  3. Ground projection

    Image tracks become road-level trajectories.

  4. Scenario builder

    Trajectories combined with the road model into OpenSCENARIO.

  5. Classifier

    Manoeuvre types and critical-event tags.

  6. Scenario database

    Filter by road user, manoeuvre, criticality and location.

What you get

  • 7 road-user classes

    Cars, vans, trucks, buses, motorcycles, bicycles, pedestrians. Any of them can be the ego.

  • Criticality built in

    Minimum time-to-collision, distance to critical objects, trajectory curvature.

  • Corner cases found, not guessed

    Similar events clustered into scenario families; outliers flagged.

  • Open standards

    ASAM OpenSCENARIO, OpenDRIVE and OpenCRG; works with esmini and IPG CarMaker.

Who it is for

  • OEMs and Tier-1 suppliers

    Ground your scenario catalogue in observed statistics and show that a function was tested against real, local traffic.

    Technology

  • Simulation and test service providers

    Add location-specific scenario coverage to regression testing, imported straight into your existing toolchain.

    Technology

  • Camera and infrastructure owners

    Turn existing roadside cameras into a source of high-value traffic analysis.

    Traffic Intelligence

Beyond replay

Traffic that reacts.

A recording shows what happened once. Validation asks what happens if the ego brakes harder, arrives earlier or swerves. We are building local traffic behaviour models from observed data, so surrounding traffic responds to the ego instead of replaying a script.

Learn more

Looking for pilot partners.

We run pilot projects with OEMs, Tier-1 suppliers, test houses and infrastructure owners. Tell us about your camera, your function under test, or the gap in your validation.

Request a pilot