作者
Xuan Li, Qinghai Miao, Lingxi Li, Yongshuai Hou, Qinghua Ni, Lili Fan, Yutong Wang, Yonglin Tian, Fei-Yue Wang
发表日期
2024/3/29
期刊
IEEE Transactions on Intelligent Vehicles
出版商
IEEE
简介
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 …
引用总数
学术搜索中的文章
X Li, Q Miao, L Li, Y Hou, Q Ni, L Fan, Y Wang, Y Tian… - IEEE Transactions on Intelligent Vehicles, 2024