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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Fei, Zhennan, Andersson, Mikael, Tingberg, Andreas
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913378132295680
author Fei, Zhennan
Andersson, Mikael
Tingberg, Andreas
author_facet Fei, Zhennan
Andersson, Mikael
Tingberg, Andreas
contents 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
format Preprint
id arxiv_https___arxiv_org_abs_2406_03040
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving
Fei, Zhennan
Andersson, Mikael
Tingberg, Andreas
Software Engineering
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
title Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving
topic Software Engineering
url https://arxiv.org/abs/2406.03040