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

文献类型：期刊论文

作者Li, Xuan1; Miao, Qinghai2; Li, Lingxi3; Ni, Qinghua4; Fan, Lili5; Wang, Yutong6; Tian, Yonglin6; Wang, Fei-Yue6
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2024-02-01
卷号9期号:2页码:3117-3122
关键词Intelligent vehicles Indexes Biological system modeling Vehicle dynamics Visualization Transformers Training data Sora text-to-video model scenarios engineering artificial intelligence intelligent vehicles
ISSN号2379-8858
DOI10.1109/TIV.2024.3379989
通讯作者Miao, Qinghai(miaoqh@ucas.ac.cn)
英文摘要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.
WOS关键词PARALLEL ; ECOLOGY ; SYSTEMS
资助项目National Natural Science Foundation of China
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
WOS记录号WOS:001215322100086
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/59067]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Miao, Qinghai
作者单位1.Peng Cheng Lab, Shenzhen 518000, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Indiana Univ Purdue Univ Indianapolis IUPUI, Purdue Sch Engn & Technol, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA
4.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China
5.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Xuan,Miao, Qinghai,Li, Lingxi,et al. Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(2):3117-3122.
APA Li, Xuan.,Miao, Qinghai.,Li, Lingxi.,Ni, Qinghua.,Fan, Lili.,...&Wang, Fei-Yue.(2024).Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(2),3117-3122.
MLA Li, Xuan,et al."Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.2(2024):3117-3122.

入库方式： OAI收割

来源：自动化研究所

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