Challenges

In advanced driver-assistance systems (ADAS) and automated driving (AD) development, field testing is a necessary validation step to ensure all system components work as expected on the road. Field testing also provides the most reliable method of full system validation. However, reproducing issues that occur during field testing can be extremely difficult and costly. Highly sophisticated ADAS and AD programs reproduce field testing issues in simulation and extract synthetic scenarios based on real events. This practice helps teams scale, prevent regressions, and ensure measurable performance improvements.

Why Log Sim?

Applied Intuition Log Sim allows developers, test engineers, and simulation operations teams to utilize highly accurate log simulations and extraction from real-world ADAS and AD testing.
Multi-faceted tool to create, run, and analyze tests from log data, sensors, onboard autonomy systems, and other system modules using open-loop and closed-loop log replay
Workflows to easily convert logged scenarios into fully synthetic scenarios at the object or sensor level
Machine learning (ML) models to fuzz or augment log data and measure performance quantitatively

Benefits

Ease of use

Visualize drives and query for events with an easy-to-use cloud-based visualizer.

Realism

Deterministically reproduce real-world issues in their full complexity to achieve accurate validation.

Scale

Enable large-scale evaluation, remove noise from real-world data, and create a large volume of tests to uncover new issues.

Key components

Visualization

Review log snippets of interest with performant web-based, physically accurate playback. Overlays allow for precise debugging and root-cause analysis.

Re-simulation

Identify events of interest, reproduce failures easily, and root-cause issues. Accelerate triage through automatic re-simulation to mitigate false positives or false negatives. Prevent regressions by adding simulation test suites to continuous integration and deployment pipelines.

Scenario extraction

Automatically create complex synthetic scenarios from vehicle data. Vary log data with sensor simulation and diffusion models. Remove noise from original log data and apply parameter sweeps to extracted scenarios to create variations. Keep noisy data and filter the most relevant interactions.

Key components

Visualization

Review log snippets of interest with performant web-based, physically accurate playback. Overlays allow for precise debugging and root-cause analysis.

Re-simulation

Identify events of interest, reproduce failures easily, and root-cause issues. Accelerate triage through automatic re-simulation to mitigate false positives or false negatives. Prevent regressions by adding simulation test suites to continuous integration and deployment pipelines.

Scenario extraction

Automatically create complex synthetic scenarios from vehicle data. Vary log data with sensor simulation and diffusion models. Remove noise from original log data and apply parameter sweeps to extracted scenarios to create variations. Keep noisy data and filter the most relevant interactions.

Get started with Log Sim

Learn how to transform drive logs into large-scale, highly accurate test libraries for all vehicle software.
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