Sora for Smart Mining: Towards Sustainability With Imaginative Intelligence and Parallel Intelligence

IF 14 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-04-29 DOI:10.1109/TIV.2024.3394520

Yuting Xie;Cong Wang;Kunhua Liu;Zhe Xuanyuan;Yuhang He;Hui Cheng;Andreas Nüchter;Lingxi Li;Rouxing Huai;Shuming Tang;Siji Ma;Long Chen

引用次数: 0

Abstract

This letter summarizes discussions from IEEE TIV's Autonomous Mining Workshop, emphasizing the potential of video generation models in advancing smart mining.

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用于智能采矿的 Sora：利用想象力智能和并行智能实现可持续发展

本信总结了 IEEE TIV 自主采矿研讨会的讨论情况，强调了视频生成模型在推进智能采矿方面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.