自动驾驶领域，技术路线从开始基于规则的时期，逐渐转变为行业量产的以理想、小鹏等新势力智驾为代表的 端到端到VLA范式转变 时期 ，现阶段 来到以蔚来为代表的 世界模型时期 。 可以看出来， 无论技术路线怎么变，深度学习都一直存在 。 这也给 广大想要在这个技术飞快发展，担心随时被淘汰的"牛马"一个提示，学它！ 不仅要学前沿理论和技术，还要学底层的基础理论，锻炼自己的代码能力 ，为了帮大家快速入门端到端和VLA，真正搞懂如何设计自己的端到端模型 ， 我们联合了工业界和学术界的大佬开展了 《智驾升维——大 模型驱动的端到端之路》。 双十一特价优惠， 1.98 元 享试看 自驾 VLA 尖端课题组三节 课程介绍 从模块化的量产算法发展到端到端，再到如今的VLA。核心算法涉及BEV感知、视觉语言模型VLM、扩散模型、强化学习、世界模型等等。 通过学习能够掌握端到端技术框架，对BEV感知、多模态大模型、强化学习、扩散模型等关键技术有更深刻的了解； 可复现扩散模型、VLA等主流算 法框架；能够将所学应用到项目中。 大部分同学反馈学完全部课程后能够达到 1年左右端到端自动驾驶算法工程师水平 ，无论是实习、校招、社招都能从中 ...

Core Viewpoint - The article discusses the evolution of autonomous driving technology, highlighting the transition from rule-based systems to end-to-end models represented by companies like Ideal and XPeng, and currently to the world model phase represented by NIO, emphasizing the continuous presence of deep learning throughout these changes [1]. Group 1: Course Introduction - The course covers the development from modular production algorithms to end-to-end systems and now to VLA, focusing on core algorithms such as BEV perception, visual language models (VLM), diffusion models, reinforcement learning, and world models [5]. - Participants will gain a comprehensive understanding of the end-to-end technology framework and key technologies, enabling them to reproduce mainstream algorithm frameworks like diffusion models and VLA [5]. - Feedback indicates that students completing the course can achieve approximately one year of experience as end-to-end autonomous driving algorithm engineers, benefiting from the training for internships and job recruitment [5]. Group 2: Instructor Profile - The main instructor, Jason, holds a C9 undergraduate degree and a PhD from a QS top 50 university, with multiple published papers in CCF-A and CCF-B journals [6]. - He is currently an algorithm expert at a leading domestic manufacturer, engaged in the research and production of cutting-edge algorithms, with extensive experience in the development and delivery of autonomous driving perception and end-to-end algorithms [6]. Group 3: Research Guidance - The program aims to enhance practical skills and knowledge in cutting-edge topics, with a focus on helping students publish high-level papers to improve their academic prospects [8]. - The community includes over 300 instructors specializing in autonomous driving and embodied intelligence, with a high manuscript acceptance rate of 96% over the past three years [8]. Group 4: Research Process - The guidance process includes selecting research topics based on student interests, explaining key concepts, and providing essential foundational knowledge and recommended learning materials [11]. - Students will learn how to critically read literature, conduct research, and write various sections of a paper, including methods and experimental results, with continuous feedback and support throughout the process [11].