In this paper, we propose a fundamental paradigm shift from current pipelines, exploiting Large Language Models (LLMs) as a cognitive agent to integrate human-like intelligence into autonomous driving systems. Our approach, termed Agent-Driver, transforms the traditional autonomous driving pipeline by ...
DriveLM: Driving with Graph Visual Question Answering Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li 2023 A Language Agent for Autonomous Driving Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang ...
整个算法包括两块:轨迹知识提取、策略网络训练 具体来说,Columba采用随机蒸馏网络、调节器和鉴别器(以奖励的形式)提取来自专家轨迹和不正常轨迹的数据。 使策略网络通过与鉴别器的对抗过程输出Q值最大的动作。经…
大型语言模型已经在“感知”任务中证明了其独特的价值和强大的能力[拉德福等人,2021年; Li等人,2022 b; Li等人,2023 a; Li等人(Blip-2: Bootstrapping language-image pre- training with frozen image encoders and large language models,2)023 b(Graph-based topology reasoning for driving scenes.;) Li等...
[2] Zhenjie Yang, Xiaosong Jia, Hongyang Li, and Junchi Yan. A survey of large language modelsfor autonomous driving. arXiv preprint arXiv:2311.01043, 2023. 这两篇论文从不同角度总结了大语言模型在自动驾驶领域的运用。 [1] Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling ...
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What are the suitable models for agent-oriented simulation of driving behavior in developing countries, and how can it be implemented into an agent-oriented simulator?This research question aims to investigate the suitability of existing models for ABS and identify a suitable model that can follow ...
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving 摘要 本文提出了DriveArena,这是第一个专为驾驶代理在真实场景中导航而设计的高保真闭环仿真系统。 DriveArena 采用灵活的模块化架构,可实现其核心组件的无缝互换:Traffic Manager(能够在任何全球街道地图上生成真实交通流的交通模拟器)和...
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