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A Performance Evaluation of Open Source Autonomous Driving Frameworks: Case Studies of Apollo and Autoware

Autonomous vehicles (AVs) are revolutionizing transportation by enhancing safety and efficiency. Despite significant advancements, the literature lacks a systematic benchmarking methodology for open-source autonomous driving stacks (ADS) in realistic simulation environments. This paper presents a me...

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Autori principali: Marcus Vinicius Leal De Carvalho, Roberto Simoni, Leopoldo Rideki Yoshioka, Joao Francisco Justo, Bruno Mamoru Kato Kawakami
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2025-01-01
Serie:IEEE Access
Soggetti:
Apollo.Auto
autonomous driving
autoware.AI
benchmarking methodology
operation design domain
performance metrics
Accesso online:https://ieeexplore.ieee.org/document/10918696/
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