Abstract
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, completing sensor data, and making sequential decisions. In addition, the mixture of experts (MoE) can enable the distributed and collaborative execution of AI models without performance degradation between connected vehicles. In this survey, we explore the integration of MoE and GAI to enable Artificial General Intelligence in IoV, which can enable the realization of full autonomy for IoV with minimal human supervision and applicability in a wide range of mobility scenarios, including environment monitoring, traffic management, and autonomous driving. In particular, we present the fundamentals of GAI, MoE, and their interplay applications in IoV. Furthermore, we discuss the potential integration of MoE and GAI in IoV, including distributed perception and monitoring, collaborative decision-making and planning, and generative modeling and simulation. Finally, we present several potential research directions for facilitating the integration.
Abstract (translated)
生成式人工智能（GAI）可以通过合成增强数据集、完成传感器数据和做出序列决策来增强智能模块在汽车互联网（IoV）中的认知、推理和规划能力。此外，专家混合（MoE）可以实现分布式和协作执行AI模型，而不会导致性能下降。在本次调查中，我们探讨了将MoE和GAI集成到IoV中以实现汽车通用人工智能（AGI），这将实现无需大量人类监督即可实现IoV的全自动驾驶，并适用于各种移动场景，包括环境监测、交通管理和自动驾驶。特别是，我们概述了GAI、MoE及其相互作用的原理在IoV中的应用。此外，我们讨论了在IoV中实现MoE和GAI协同的可能性，包括分布式感知和监测、协同决策和规划以及生成建模和仿真。最后，我们提出了几个促进整合的研究方向。
URL
https://arxiv.org/abs/2404.16356
