# Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving

arXiv: https://arxiv.org/abs/2406.03040 · HTML: https://mlsanity.com/paper/2406.03040/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jun 2024.

## Built on by (most cited first, 3 of 3)

- [On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software](https://mlsanity.com/paper/2504.02141/) (2025)
- [Large Language Models in Code Co-generation for Safe Autonomous Vehicles](https://mlsanity.com/paper/2505.19658/) (2025)
- [Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function](https://mlsanity.com/paper/2507.22769/) (2025)

## Abstract (arXiv)

Software-in-the-loop (SIL) simulation is a widely used method for the rapid development and testing of autonomous vehicles because of its flexibility and efficiency. This paper presents a case study on the validation of an in-house developed SIL simulation toolchain. The presented validation process involves the design and execution of a set of representative scenarios on the test track. To align the test track runs with the SIL simulations, a synchronization approach is proposed, which includes refining the scenarios by fine-tuning the parameters based on data obtained from vehicle testing. The paper also discusses two metrics used for evaluating the correlation between the SIL simulations and the vehicle testing logs. Preliminary results are presented to demonstrate the effectiveness of the proposed validation process