CARLA Hardware-in-the-Loop Simulation Environment for Autonomous Driving

<div>This article suggests a validation methodology for autonomous driving. The goal is to validate front camera sensors in advanced driver-assist systems (ADAS) based on virtually generated scenarios. The outcome is the CARLA-based hardware-in-the-loop (HIL) simulation environment (CHASE). It allows the rapid prototyping and validation of the ADAS software. We tested this general approach on a specific experimental application/setup for a vehicle front camera sensor. The setup results were then proven to be comparable to real-world sensor performance. The CARLA simulation environment was used in tandem with a vehicle CAN bus interface. This introduced a significantly improved realism to user-defined test scenarios and their results. The approach benefits from almost unlimited variability of traffic scenarios and the cost-efficient generation of massive testing data.</div>

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Publication Details

Journal
SAE International Journal of Connected and Automated Vehicles
Published
2025-11-20
DOI
https://doi.org/10.4271/12-09-02-0015
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

CARLA Hardware-in-the-Loop Simulation Environment for Autonomous Driving

Václav Hlaváč, Shawn Moses Cardozo
SAE International Journal of Connected and Automated Vehicles
Autonomous Vehicle Technology and Safety
article

CARLA Hardware-in-the-Loop Simulation Environment for Autonomous Driving

Václav Hlaváč, Shawn Moses Cardozo
article en

Abstract

<div>This article suggests a validation methodology for autonomous driving. The goal is to validate front camera sensors in advanced driver-assist systems (ADAS) based on virtually generated scenarios. The outcome is the CARLA-based hardware-in-the-loop (HIL) simulation environment (CHASE). It allows the rapid prototyping and validation of the ADAS software. We tested this general approach on a specific experimental application/setup for a vehicle front camera sensor. The setup results were then proven to be comparable to real-world sensor performance. The CARLA simulation environment was used in tandem with a vehicle CAN bus interface. This introduced a significantly improved realism to user-defined test scenarios and their results. The approach benefits from almost unlimited variability of traffic scenarios and the cost-efficient generation of massive testing data.</div>

SAE International Journal of Connected and Automated VehiclesVol. 09(2)
Czech Technical University in Prague (CZ)
Openalex Percentile: Top 61%
Autonomous Vehicle Technology and Safety
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