V2X Architecture for Autonomous Platoon Management In Urban Environment

Bouchemal, Naila; Jun, Jae‐Yun

doi:10.1109/cits52676.2021.9617911

Cited by 1 publication

(1 citation statement)

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“…The vision of Autonomous Vehicles (AVs) is prompting a revolutionary change in the realm of transportation. However, this vision introduces a multitude of research challenges spanning technology and infrastructure to accommodate AVs, reliable V2X communication [5], [6], as well as the crucial need for comprehensive testing and simulation to ensure the reliability and safety of AVs. The last decade has seen intensified efforts dedicated to addressing these challenges, setting the stage for this novel era of transportation.…”

Section: Related Workmentioning

confidence: 99%

Beyond Traditional Simulators: Adopting Videogames for Autonomous Vehicle Testing

Maaradji,

Bouchemal,

Smadhi

et al. 2023

2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf

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This article presents an ongoing research study investigating the potential of using Grand Theft Auto V (GTAV) as a simulation environment for testing edge cases in selfdriving vehicles. Our hypothesis is that GTAV can offer a more accessible and cost-effective solution for testing edge cases compared to established simulation environments such as CARLA. In this work-in-progress study, we aim to assess the feasibility, scalability, and effectiveness of utilizing GTAV by simulating complex driving scenarios. We selected Openpilot, an opensource Advanced Driver-Assistance System (ADAS), to test these scenarios. Compared to CARLA, GTAV proved to be a better choice for testing realistic urban environments, dynamic weather, complex intersections, and detailed nighttime settings. Moreover, these simulations offered valuable insights into how Openpilot reacts to various driving conditions and how it could be enhanced to handle edge cases more efficiently.

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Section: Related Workmentioning

confidence: 99%