自动驾驶之心·2025-08-13 06:04Core Viewpoint - The article discusses the launch of the Li Auto i8, which is the first model equipped with the VLA driver model, highlighting its advancements in understanding semantics, reasoning, and human-like driving intuition [2][7]. Summary by Sections VLA Driver Model Capabilities - The VLA model enhances four core capabilities: spatial understanding, reasoning ability, communication and memory, and behavioral ability [2]. - It can comprehend natural language commands during driving, set specific speeds based on past memories, and navigate complex road conditions while avoiding obstacles [5]. Industry Trends and Educational Initiatives - The VLA model represents a new milestone in the mass production of autonomous driving technology, prompting many professionals from traditional fields to seek transition into VLA-related roles [7]. - The article introduces a new course titled "End-to-End and VLA Autonomous Driving," designed to help individuals transition into this field by providing in-depth knowledge and practical skills [21][22]. Course Structure and Content - The course covers various topics, including end-to-end background knowledge, large language models, BEV perception, diffusion model theory, and reinforcement learning [12][26]. - It aims to build a comprehensive understanding of the research landscape in autonomous driving, focusing on both theoretical and practical applications [22][23]. Job Market and Salary Insights - The demand for VLA/VLM algorithm experts is high, with salary ranges for positions such as VLA model quantization deployment engineers and VLM algorithm engineers varying from 40K to 120K [15]. - The course is tailored for individuals looking to enhance their skills or transition into the autonomous driving sector, emphasizing the importance of mastering multiple technical domains [19][41].