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

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arxiv 2406.03040 v1 pith:ZTSURASN submitted 2024-06-05 cs.SE

Zhennan Fei , Mikael Andersson , Andreas Tingberg This is my paper · ORCID
classification cs.SE
keywords testingsimulationvalidationautonomouscorrelationpresentedprocessproposed
verification ladder T0 review T1 audit T2 compute T3 formal
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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

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Large Language Models in Code Co-generation for Safe Autonomous Vehicles

    cs.SE 2025-05 conditional novelty 6.0 of 10

    In a 24-setup benchmark using the esmini simulator, GPT-4 was the only model to produce a passing collision-avoidance controller, and it succeeded only once in 20 runs.

  2. Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving Function

    cs.RO 2025-07 conditional novelty 4.0 of 10

    A Bayesian optimization framework finds critical scenarios for an MPC motion planner using one to two orders of magnitude fewer simulations than full-factorial testing.

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