Communication

Incar AI Assistant Based on Large Language Models

Extra Form

Country	China
Year	2024
Award	GOLD WINNER
Affiliation	Apollo Intelligent Connectivity (Beijing) Technology Co
Designer	Jifang Wang, Xuan Wang, Kaitong Wu, Xuejun Wang, Zhao Zhang
Description(English)	The rapid development of large language models haspropelled the intelligence and digitization transformation of automobiles. "Driving Agent" is an AI assistant driven bylarge language model (LLM) technology, utilizing natural language forinteraction, capable of efficiently performing driving tasks. Thesecapabilities enable "Driving Agent" to generate accurate personalizedtravel itineraries and driving routes, tailor the cabin environment to userneeds, and offer multimodal interaction methods. These features provide a moreintelligent, personalized, and efficient driving experience while enhance users' driving efficiency.
Description(Native)	AI技术和大型语言模型的快速发展推动了汽车的智能化和数字化转型。"驾驶智能体"是一个基于大语言模型技术驱动的AI智能体助手，可以和用户进行口语化的自然语言交互，提供多模态的交互方式，高效地执行驾驶任务。 这些能力使得"驾驶智能体"可以根据驾驶场景来提供丰富的功能，例如：根据用户的需求和特征，生成准确的、个性化的旅行行程和驾驶路线，并在旅行中沿途智能化地进行景点讲解；提供用车顾问功能，便于新手驾驶员快速掌握车内软件和硬件的使用方式；根据用户需求调整车内软件和硬件、定制车内环境等。 "驾驶智能体"的这些能力不仅提供了更智能、个性化和高效的驾驶体验，提升了用户的驾驶效率，而且还智能地减少了碳排放，有助于环境保护。
Positive Comments
Judging Comments	"Driving Agent" by leveraging large language models, revolutionizes automobile intelligence. It offers personalized travel itineraries, tailored cabin environments, and multimodal interaction, significantly enhancing driving efficiency and user experience. This innovative use of AI in vehicles, providing smarter and more efficient driving solutions, earned it the Gold Winner title.

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