Scenario-based Validation of Autonomous Vehicles using Augmented Reality - Archive ouverte HAL
Conference Papers Year : 2024

Scenario-based Validation of Autonomous Vehicles using Augmented Reality

Abstract

Validation of autonomous vehicles (AVs) is a critical task in their development and for their approval on public roads. Scenario-based testing is the state-of-the-art validation method and is recommended by international automotive regulators. While simulated execution of critical scenarios is essential, it cannot yet fully replace real-world testing, which however remains tedious, time-consuming, and resource-intensive. In this work, we propose an enhanced methodology using Augmented Reality to bridge the gap, providing an intermediate testing method that enables comprehensive real-world testing with reduced cost and improved realism. To demonstrate this methodology, we conducted tests in a controlled environment using six critical scenarios selected from road crash studies.
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Dates and versions

hal-04682329 , version 1 (30-08-2024)

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  • HAL Id : hal-04682329 , version 1

Cite

Jean-Baptiste Horel, Alessandro Renzaglia, Radu Mateescu, Christian Laugier. Scenario-based Validation of Autonomous Vehicles using Augmented Reality. ICRA 2024 - 40th Anniversary of the IEEE Conference on Robotics and Automation, IEEE, Sep 2024, Rotterdam, Netherlands. pp.1-3. ⟨hal-04682329⟩
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