并行智能社交视觉系统 Sora:智能汽车中的社交互动

IF 14 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Intelligent Vehicles Pub Date : 2024-03-01 DOI:10.1109/TIV.2024.3384835
Hui Yu;Wei Liang;Lili Fan;Yutong Wang;Fei-Yue Wang
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引用次数: 0

摘要

在过去几年里,人工技术取得了突飞猛进的发展,完成了各种卓越的任务,包括但不限于分类、检测、图像生成和数据处理。特别是最近新出现的 Sora,它已经展示了从文字到视频的超强生成能力,可持续 1 分钟之久,质量令人印象深刻。它为各行各业的许多新应用提供了巨大的潜力,尤其是智能汽车中的社交互动。创新型智能汽车应用的出现对相关环境中的社交和人车互动提出了新的要求,而 Sora 和社交视觉可以在其中发挥重要作用。从这个角度出发,我们提出了一个基于智能汽车中的 Sora 和并行智能的新型社交互动框架,并为在智能汽车背景下开展新型社交和人车互动提供了一个新的视角。
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Sora for Social Vision With Parallel Intelligence: Social Interaction in Intelligent Vehicles
Artificial technologies have made rapid progress and achieved various superior tasks in the past few years, including but not limited to classification, detection, image generation and data processing. Particularly, the very recent emerging Sora has demonstrated the exceptional ability of text-to-video generation lasting for 1 minute long with impressive quality. It provides a huge potential for many new applications across industries, especially social interaction in intelligent vehicles. The emergence of innovative intelligence vehicle applications has given rise to novel requirements for social and human-vehicle interaction within the associated contexts, where Sora and social vision could play an important role. In this perspective, we present a new Social Interaction framework based on Sora and parallel intelligence in intelligent vehicles and provide a novel perspective for conducting new social and human-vehicle interaction in the context of intelligent vehicles.
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来源期刊
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization
CiteScore
12.10
自引率
13.40%
发文量
177
期刊介绍: The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.
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