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Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds

  • Xuan Li
  • , Qinghai Miao*
  • , Lingxi Li
  • , Qinghua Ni
  • , Lili Fan
  • , Yutong Wang
  • , Yonglin Tian
  • , Fei Yue Wang
  • *此作品的通讯作者
  • Peng Cheng Laboratory
  • University of Chinese Academy of Sciences
  • Indiana University-Purdue University Indianapolis
  • Macau University of Science and Technology
  • CAS - Institute of Automation

科研成果: 期刊稿件文章同行评审

摘要

The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles (IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be a form that is more relevant to the underlying scenario, thereby accomplishing validation, verification (V&V), and calibration, certification (C&C) of each vehicle. However, such improved capabilities relies on the accumulation and analysis of an unprecedented volume of scenarios. Recently, Sora and other video generation models have opened up new horizons for Imaginative Intelligence. As an extension of TIV-DHW (Distributed/Decentralized Hybrid Workshop) on SE, this letter discusses the potential of Sora to change the scenario generation process by reducing physical shooting, increasing extreme scenario generation, thereby enabling more comprehensive training and testing of IVs. This letter also analyzes the limitations of Sora in accurately model physics and understand cause and effect, which may affect its effectiveness in SE applications. Last, through a comprehensive outlook, this letter aims to provide a potential direction for the development of Sora-like AI technology, thereby promoting the safety, efficiency, reliability, and sustainability of IVs.

源语言英语
页(从-至)3117-3122
页数6
期刊IEEE Transactions on Intelligent Vehicles
9
2
DOI
出版状态已出版 - 1 2月 2024

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