死磕技术的自动驾驶黄埔军校，三周年了~

Core Viewpoint - The article discusses the significant progress made in the field of autonomous driving and embodied intelligence over the past year, highlighting the establishment of various platforms and services aimed at enhancing education and employment opportunities in these sectors [2]. Group 1: Company Developments - The company has developed four key IPs: "Autonomous Driving Heart," "Embodied Intelligence Heart," "3D Vision Heart," and "Large Model Heart," expanding its reach through various platforms including knowledge sharing and community engagement [2]. - The transition from purely online education to a comprehensive service platform that includes hardware, offline training, and job placement services has been emphasized, showcasing a strategic shift in business operations [2]. - The establishment of a physical office in Hangzhou and the recruitment of talented individuals indicate the company's commitment to growth and industry engagement [2]. Group 2: Community and Educational Initiatives - The "Autonomous Driving Heart Knowledge Planet" has become the largest community for autonomous driving learning in China, with nearly 4,000 members and over 100 industry experts contributing to discussions and knowledge sharing [4]. - The community has compiled over 30 learning pathways covering various aspects of autonomous driving technology, including perception, mapping, and AI model deployment, aimed at facilitating both newcomers and experienced professionals [4]. - The platform encourages active participation and problem-solving among members, fostering a collaborative environment for learning and professional development [4]. Group 3: Technological Focus Areas - The article highlights four major technological directions within the community: Visual Large Language Models (VLM), World Models, Diffusion Models, and End-to-End Autonomous Driving, with resources and discussions centered around these topics [6][33]. - The community provides access to cutting-edge research, datasets, and application examples, ensuring members stay informed about the latest advancements in autonomous driving and related fields [6][33]. - The focus on embodied intelligence and large models reflects the industry's shift towards integrating advanced AI capabilities into autonomous systems, indicating a trend towards more sophisticated and capable driving solutions [2].