Report
VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation
| العنوان: | VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation |
|---|---|
| المؤلفون: | Tian, Yonglin, Li, Xuan, Zhang, Hui, Zhao, Chen, Li, Bai, Wang, Xiao, Wang, Fei-Yue |
| بيانات النشر: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| سنة النشر: | 2023 |
| المجموعة: | Institute of Automation: CASIA OpenIR (Chinese Academy of Sciences) / 中国科学院自动化研究所机构知识库 |
| مصطلحات موضوعية: | Transformers, Task analysis, Autonomous vehicles, Planning, Biological system modeling, Navigation, Automation, Generative parallel transformers, end-to-end driving, transport automation, large-language models, federation of vehicular transformers, scenario engineering, Computer Science, Engineering, Transportation, Artificial Intelligence, Electrical & Electronic, Transportation Science & Technology |
| الوصف: | Diverse transport demands have resulted in the wide existence of heterogeneous vehicle automation systems. While these systems have demonstrated effectiveness, they also pose challenges in terms of the share of technological advancements among different organizations and lead to poor generalization ability of individual systems. This article proposes a Transformer-based unified framework, VistaGPT, to address these challenges. VistaGPT, composed of Modular Federations of Vehicular Transformers (M-FoV) and Automated Composing of Autonomous Driving Systems (AutoAuto), aims to overcome the information barriers due to system-level and module-level heterogeneity. M-FoV collects and organizes Transformer-based models in a modular fashion to facilitate system integration by providing diversity and versatility. AutoAuto utilizes large language models (LLMs) to automatically compose end-to-end autonomous driving systems with a "Dividing and Recombining" strategy. Besides, we deploy Scenario Engineering systems to evaluate the composed systems and provide systematic feedback for the optimization of AutoAuto, and Federated intelligence to contribute to diverse training samples and applications. With its capacity, scalability, and diversity, VistaGPT provides a new paradigm of LLM-aided system development for transport automation, which promotes virtual-real interactive parallel driving and advances progress toward "6S" objectives. |
| نوع الوثيقة: | report |
| اللغة: | English |
| Relation: | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES; http://ir.ia.ac.cn/handle/173211/54481; http://ir.ia.ac.cn/handle/173211/54482 |
| DOI: | 10.1109/TIV.2023.3307012 |
| الاتاحة: | http://ir.ia.ac.cn/handle/173211/54481 http://ir.ia.ac.cn/handle/173211/54482 https://doi.org/10.1109/TIV.2023.3307012 |
| رقم الانضمام: | edsbas.C20D3F48 |
| قاعدة البيانات: | BASE |
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